Descubra oportunidades de emprego em Setúbal, uma cidade costeira pitoresca com um mercado de trabalho em crescimento. Explore vagas em diversos setores, desde o turismo e hotelaria, impulsionados pela beleza natural da região, até áreas como a indústria naval e o comércio local. Setúbal oferece um ambiente profissional dinâmico, com empresas que procuram talentos em diferentes níveis de experiência.3.542 Empregos em Setúbal
Senior ML Engineer - Copilot
Seixal, Lisboa
Zendesk
Hoje
Trabalho visualizado
Descrição Do Trabalho
*Job Description*
Zendesk’s people have one goal in mind: to make Customer Experience better. Our products help more than 125,000 global brands (AirBnb, Uber, JetBrains, Slack, among others) make their billions of customers happy, every day.
Our team is responsible for helping Customer Experience teams to achieve their best, by intelligently solving repetitive work, so they can shift their focus to solving more sophisticated problems. We use the latest trends in Machine Learning and AI algorithms to help us on that mission, and we're passionate about empowering our customers.
As a Senior ML Engineer, you’ll be responsible for developing products in collaboration with our Research Scientists and other Machine Learning Engineers, and delivering high-quality ML and AI products to our customers, at a scale that most companies only dream of.
* What you get to do every day *
* Write robust, maintainable, and production-grade code to deliver ML-powered features (e.g., intent detection, sentiment/language analysis, intelligent agent routing) that directly impact millions of end users.
* Design, build, and optimize scalable, reliable ML pipelines for processing large volumes of structured and unstructured text data (including real-time customer conversations).
* Collaborate with ML Scientists and Product teams to productionize new models, LLM-powered services, and experiment with emerging AI technologies in the context of intelligent triage.
* Lead and participate in technical design, code reviews, and architecture decisions for ML/AI systems.
* Develop and evolve MLOps processes (CI/CD, model versioning, monitoring, and observability), ensuring efficient model deployment and high system reliability.
* Mentor and support junior engineers; share knowledge of model development, deployment, and best practices.
* Investigate and resolve complex production issues, including model failures, data drift, and system performance bottlenecks.
* Key challenges / use cases *
* How do we enrich customer service conversations with accurate language detection, intent recognition, and real-time sentiment analysis, to enable proactive customer engagement and optimal routing?
* How can we automate all customer service interactions as much as possible, from process automation to agent assistance and chatbots with a knowledge base?
* How do we optimize routing at scale-matching tickets or chats to the most appropriate agent/team in real-time across multiple languages and regions?
* How do we automate large-scale A/B testing and model evaluation (online and offline) to continually iterate and improve ML-driven triage and agent-assist tools?
* How do we extend our retrieval and information extraction platforms to support new conversational AI use cases?
* How do we efficiently serve and monitor large ML/LLM models in a high-throughput, low-latency production environment?
* How do we combine signals from conversation context, customer history, and external data to improve prediction and decision accuracy across our ML services?
* How do we ensure fairness, explainability, and compliance in ML-driven customer interactions?
* And many more!
* What you bring to the role *
* Proven track record as a solid software engineer with a focus on Python-based software development.
* Advanced proficiency with scalable data processing frameworks and tools (e.g., Spark, AWS Batch, Airflow).
* Solid grasp of SQL, distributed database technologies, and data modeling for large/heterogeneous datasets.
* Experience with MLOps: CI/CD for ML, monitoring, model registries, automated retraining, and rollback.
* Familiarity with cloud environments (AWS preferred, but GCP/Azure experience valued), and microservices architectures (Kubernetes, Docker).
* Experience with modern NLP/LLM libraries and platforms (HuggingFace, OpenAI, etc.) and integrating LLMs into production workflows is a significant plus.
* A self-managed and dedicated approach with the ability to work independently.
* Strong problem-solving capabilities as well as the flexibility (of working style) to deal with changing and conflicting priorities.
* Knowledge of Machine Learning to keep up with the latest developments in the team and be part of all stages of the ML model development cycle.
* Ability to mentor, review code, and drive technical excellence within a multi-disciplinary team.
* What our tech stack looks like *
* Our code is written in Python and Ruby.
* Our servers live in AWS.
* Our machine learning models rely on PyTorch.
* Our ML pipelines use AWS Batch and MetaFlow.
* Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, Snowflake and Aurora.
* Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing.
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Zendesk’s people have one goal in mind: to make Customer Experience better. Our products help more than 125,000 global brands (AirBnb, Uber, JetBrains, Slack, among others) make their billions of customers happy, every day.
Our team is responsible for helping Customer Experience teams to achieve their best, by intelligently solving repetitive work, so they can shift their focus to solving more sophisticated problems. We use the latest trends in Machine Learning and AI algorithms to help us on that mission, and we're passionate about empowering our customers.
As a Senior ML Engineer, you’ll be responsible for developing products in collaboration with our Research Scientists and other Machine Learning Engineers, and delivering high-quality ML and AI products to our customers, at a scale that most companies only dream of.
* What you get to do every day *
* Write robust, maintainable, and production-grade code to deliver ML-powered features (e.g., intent detection, sentiment/language analysis, intelligent agent routing) that directly impact millions of end users.
* Design, build, and optimize scalable, reliable ML pipelines for processing large volumes of structured and unstructured text data (including real-time customer conversations).
* Collaborate with ML Scientists and Product teams to productionize new models, LLM-powered services, and experiment with emerging AI technologies in the context of intelligent triage.
* Lead and participate in technical design, code reviews, and architecture decisions for ML/AI systems.
* Develop and evolve MLOps processes (CI/CD, model versioning, monitoring, and observability), ensuring efficient model deployment and high system reliability.
* Mentor and support junior engineers; share knowledge of model development, deployment, and best practices.
* Investigate and resolve complex production issues, including model failures, data drift, and system performance bottlenecks.
* Key challenges / use cases *
* How do we enrich customer service conversations with accurate language detection, intent recognition, and real-time sentiment analysis, to enable proactive customer engagement and optimal routing?
* How can we automate all customer service interactions as much as possible, from process automation to agent assistance and chatbots with a knowledge base?
* How do we optimize routing at scale-matching tickets or chats to the most appropriate agent/team in real-time across multiple languages and regions?
* How do we automate large-scale A/B testing and model evaluation (online and offline) to continually iterate and improve ML-driven triage and agent-assist tools?
* How do we extend our retrieval and information extraction platforms to support new conversational AI use cases?
* How do we efficiently serve and monitor large ML/LLM models in a high-throughput, low-latency production environment?
* How do we combine signals from conversation context, customer history, and external data to improve prediction and decision accuracy across our ML services?
* How do we ensure fairness, explainability, and compliance in ML-driven customer interactions?
* And many more!
* What you bring to the role *
* Proven track record as a solid software engineer with a focus on Python-based software development.
* Advanced proficiency with scalable data processing frameworks and tools (e.g., Spark, AWS Batch, Airflow).
* Solid grasp of SQL, distributed database technologies, and data modeling for large/heterogeneous datasets.
* Experience with MLOps: CI/CD for ML, monitoring, model registries, automated retraining, and rollback.
* Familiarity with cloud environments (AWS preferred, but GCP/Azure experience valued), and microservices architectures (Kubernetes, Docker).
* Experience with modern NLP/LLM libraries and platforms (HuggingFace, OpenAI, etc.) and integrating LLMs into production workflows is a significant plus.
* A self-managed and dedicated approach with the ability to work independently.
* Strong problem-solving capabilities as well as the flexibility (of working style) to deal with changing and conflicting priorities.
* Knowledge of Machine Learning to keep up with the latest developments in the team and be part of all stages of the ML model development cycle.
* Ability to mentor, review code, and drive technical excellence within a multi-disciplinary team.
* What our tech stack looks like *
* Our code is written in Python and Ruby.
* Our servers live in AWS.
* Our machine learning models rely on PyTorch.
* Our ML pipelines use AWS Batch and MetaFlow.
* Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, Snowflake and Aurora.
* Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing.
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Desculpe, este trabalho não está disponível em sua região
0
Senior ML Engineer - Copilot
Setúbal, Lisboa
Zendesk
Hoje
Trabalho visualizado
Descrição Do Trabalho
*Job Description*
Zendesk’s people have one goal in mind: to make Customer Experience better. Our products help more than 125,000 global brands (AirBnb, Uber, JetBrains, Slack, among others) make their billions of customers happy, every day.
Our team is responsible for helping Customer Experience teams to achieve their best, by intelligently solving repetitive work, so they can shift their focus to solving more sophisticated problems. We use the latest trends in Machine Learning and AI algorithms to help us on that mission, and we're passionate about empowering our customers.
As a Senior ML Engineer, you’ll be responsible for developing products in collaboration with our Research Scientists and other Machine Learning Engineers, and delivering high-quality ML and AI products to our customers, at a scale that most companies only dream of.
* What you get to do every day *
* Write robust, maintainable, and production-grade code to deliver ML-powered features (e.g., intent detection, sentiment/language analysis, intelligent agent routing) that directly impact millions of end users.
* Design, build, and optimize scalable, reliable ML pipelines for processing large volumes of structured and unstructured text data (including real-time customer conversations).
* Collaborate with ML Scientists and Product teams to productionize new models, LLM-powered services, and experiment with emerging AI technologies in the context of intelligent triage.
* Lead and participate in technical design, code reviews, and architecture decisions for ML/AI systems.
* Develop and evolve MLOps processes (CI/CD, model versioning, monitoring, and observability), ensuring efficient model deployment and high system reliability.
* Mentor and support junior engineers; share knowledge of model development, deployment, and best practices.
* Investigate and resolve complex production issues, including model failures, data drift, and system performance bottlenecks.
* Key challenges / use cases *
* How do we enrich customer service conversations with accurate language detection, intent recognition, and real-time sentiment analysis, to enable proactive customer engagement and optimal routing?
* How can we automate all customer service interactions as much as possible, from process automation to agent assistance and chatbots with a knowledge base?
* How do we optimize routing at scale-matching tickets or chats to the most appropriate agent/team in real-time across multiple languages and regions?
* How do we automate large-scale A/B testing and model evaluation (online and offline) to continually iterate and improve ML-driven triage and agent-assist tools?
* How do we extend our retrieval and information extraction platforms to support new conversational AI use cases?
* How do we efficiently serve and monitor large ML/LLM models in a high-throughput, low-latency production environment?
* How do we combine signals from conversation context, customer history, and external data to improve prediction and decision accuracy across our ML services?
* How do we ensure fairness, explainability, and compliance in ML-driven customer interactions?
* And many more!
* What you bring to the role *
* Proven track record as a solid software engineer with a focus on Python-based software development.
* Advanced proficiency with scalable data processing frameworks and tools (e.g., Spark, AWS Batch, Airflow).
* Solid grasp of SQL, distributed database technologies, and data modeling for large/heterogeneous datasets.
* Experience with MLOps: CI/CD for ML, monitoring, model registries, automated retraining, and rollback.
* Familiarity with cloud environments (AWS preferred, but GCP/Azure experience valued), and microservices architectures (Kubernetes, Docker).
* Experience with modern NLP/LLM libraries and platforms (HuggingFace, OpenAI, etc.) and integrating LLMs into production workflows is a significant plus.
* A self-managed and dedicated approach with the ability to work independently.
* Strong problem-solving capabilities as well as the flexibility (of working style) to deal with changing and conflicting priorities.
* Knowledge of Machine Learning to keep up with the latest developments in the team and be part of all stages of the ML model development cycle.
* Ability to mentor, review code, and drive technical excellence within a multi-disciplinary team.
* What our tech stack looks like *
* Our code is written in Python and Ruby.
* Our servers live in AWS.
* Our machine learning models rely on PyTorch.
* Our ML pipelines use AWS Batch and MetaFlow.
* Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, Snowflake and Aurora.
* Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing.
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Zendesk’s people have one goal in mind: to make Customer Experience better. Our products help more than 125,000 global brands (AirBnb, Uber, JetBrains, Slack, among others) make their billions of customers happy, every day.
Our team is responsible for helping Customer Experience teams to achieve their best, by intelligently solving repetitive work, so they can shift their focus to solving more sophisticated problems. We use the latest trends in Machine Learning and AI algorithms to help us on that mission, and we're passionate about empowering our customers.
As a Senior ML Engineer, you’ll be responsible for developing products in collaboration with our Research Scientists and other Machine Learning Engineers, and delivering high-quality ML and AI products to our customers, at a scale that most companies only dream of.
* What you get to do every day *
* Write robust, maintainable, and production-grade code to deliver ML-powered features (e.g., intent detection, sentiment/language analysis, intelligent agent routing) that directly impact millions of end users.
* Design, build, and optimize scalable, reliable ML pipelines for processing large volumes of structured and unstructured text data (including real-time customer conversations).
* Collaborate with ML Scientists and Product teams to productionize new models, LLM-powered services, and experiment with emerging AI technologies in the context of intelligent triage.
* Lead and participate in technical design, code reviews, and architecture decisions for ML/AI systems.
* Develop and evolve MLOps processes (CI/CD, model versioning, monitoring, and observability), ensuring efficient model deployment and high system reliability.
* Mentor and support junior engineers; share knowledge of model development, deployment, and best practices.
* Investigate and resolve complex production issues, including model failures, data drift, and system performance bottlenecks.
* Key challenges / use cases *
* How do we enrich customer service conversations with accurate language detection, intent recognition, and real-time sentiment analysis, to enable proactive customer engagement and optimal routing?
* How can we automate all customer service interactions as much as possible, from process automation to agent assistance and chatbots with a knowledge base?
* How do we optimize routing at scale-matching tickets or chats to the most appropriate agent/team in real-time across multiple languages and regions?
* How do we automate large-scale A/B testing and model evaluation (online and offline) to continually iterate and improve ML-driven triage and agent-assist tools?
* How do we extend our retrieval and information extraction platforms to support new conversational AI use cases?
* How do we efficiently serve and monitor large ML/LLM models in a high-throughput, low-latency production environment?
* How do we combine signals from conversation context, customer history, and external data to improve prediction and decision accuracy across our ML services?
* How do we ensure fairness, explainability, and compliance in ML-driven customer interactions?
* And many more!
* What you bring to the role *
* Proven track record as a solid software engineer with a focus on Python-based software development.
* Advanced proficiency with scalable data processing frameworks and tools (e.g., Spark, AWS Batch, Airflow).
* Solid grasp of SQL, distributed database technologies, and data modeling for large/heterogeneous datasets.
* Experience with MLOps: CI/CD for ML, monitoring, model registries, automated retraining, and rollback.
* Familiarity with cloud environments (AWS preferred, but GCP/Azure experience valued), and microservices architectures (Kubernetes, Docker).
* Experience with modern NLP/LLM libraries and platforms (HuggingFace, OpenAI, etc.) and integrating LLMs into production workflows is a significant plus.
* A self-managed and dedicated approach with the ability to work independently.
* Strong problem-solving capabilities as well as the flexibility (of working style) to deal with changing and conflicting priorities.
* Knowledge of Machine Learning to keep up with the latest developments in the team and be part of all stages of the ML model development cycle.
* Ability to mentor, review code, and drive technical excellence within a multi-disciplinary team.
* What our tech stack looks like *
* Our code is written in Python and Ruby.
* Our servers live in AWS.
* Our machine learning models rely on PyTorch.
* Our ML pipelines use AWS Batch and MetaFlow.
* Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, Snowflake and Aurora.
* Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing.
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Desculpe, este trabalho não está disponível em sua região
1
Software Engineer II, CoPilot
Seixal, Lisboa
Zendesk
Hoje
Trabalho visualizado
Descrição Do Trabalho
*Job Description*
At Zendesk, our focus is helping our customers build great relationships with their customers. Founded by three Danish entrepreneurs, Zendesk has experienced remarkable success and growth while maintaining a fun, positive, and down-to-earth culture.
We are looking for a Machine Learning Engineer to join our Machine Learning team. You will be delivering AI/ML powered features for our customers at Zendesk scale.
*What you will be doing*
* Work closely with ML Scientists and Senior Engineers to help bring ML-powered features into production
* Participate in discussions about technical design and contribute ideas
* Assist in building tools to support model experimentation and model management
* Collaborate with DevOps, feature teams, platform teams, and product
* Support initiatives around improving the scalability and robustness of our platforms
* Help design, prototype, and refine scalable infrastructure
** What you bring to the role **
* Required *
* Proficient in at least one of Python or Ruby
* At least 1 year of experience in building, scaling, or operating applications, with an eagerness to develop your skills further
* Familiarity with RESTful API, Kafka, Docker, Kubernetes, and cloud environments like AWS or GCP
* Ability to work through ambiguity with guidance from others, and adapt to changing priorities
* Deep respect for team collaboration and openness to learning from others
* Interest in building solutions utilizing AI/ML
* Preferred *
* Experience with either Airflow or Metaflow
* Experience with recent tooling around LLM evaluation and monitoring
* Familiar with one of the machine learning libraries such as Pytorch
* Experience with either SQL or DBT
** Tech Stack **
* *Our code is written in Python and Ruby*
* Our servers live in AWS
* Our local machine learning models rely on Pytorch
* Our ML pipelines use Airflow and Metaflow
* Our data is stored in S3, RDS MySQL and Snowflake
* Our services and models are deployed to Kubernetes using Docker
* Heavy usage of LLM technology from multiple providers
Our services and models are deployed to Kubernetes using Docker
**About Zendesk**
Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth.
More than 100,000 paid customer accounts in over 150 countries and territories use Zendesk products. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America.
Interested in knowing what we do in the community? Check out the Zendesk Neighbor Foundation to learn more about how we engage with, and provide support to, our local communities.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
By submitting your application, you agree that Zendesk may collect your personal data for recruiting, global organization planning, and related purposes. Zendesk's Candidate Privacy Notice explains what personal information Zendesk may process, where Zendesk may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Zendesk’s use of your personal information.
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
At Zendesk, our focus is helping our customers build great relationships with their customers. Founded by three Danish entrepreneurs, Zendesk has experienced remarkable success and growth while maintaining a fun, positive, and down-to-earth culture.
We are looking for a Machine Learning Engineer to join our Machine Learning team. You will be delivering AI/ML powered features for our customers at Zendesk scale.
*What you will be doing*
* Work closely with ML Scientists and Senior Engineers to help bring ML-powered features into production
* Participate in discussions about technical design and contribute ideas
* Assist in building tools to support model experimentation and model management
* Collaborate with DevOps, feature teams, platform teams, and product
* Support initiatives around improving the scalability and robustness of our platforms
* Help design, prototype, and refine scalable infrastructure
** What you bring to the role **
* Required *
* Proficient in at least one of Python or Ruby
* At least 1 year of experience in building, scaling, or operating applications, with an eagerness to develop your skills further
* Familiarity with RESTful API, Kafka, Docker, Kubernetes, and cloud environments like AWS or GCP
* Ability to work through ambiguity with guidance from others, and adapt to changing priorities
* Deep respect for team collaboration and openness to learning from others
* Interest in building solutions utilizing AI/ML
* Preferred *
* Experience with either Airflow or Metaflow
* Experience with recent tooling around LLM evaluation and monitoring
* Familiar with one of the machine learning libraries such as Pytorch
* Experience with either SQL or DBT
** Tech Stack **
* *Our code is written in Python and Ruby*
* Our servers live in AWS
* Our local machine learning models rely on Pytorch
* Our ML pipelines use Airflow and Metaflow
* Our data is stored in S3, RDS MySQL and Snowflake
* Our services and models are deployed to Kubernetes using Docker
* Heavy usage of LLM technology from multiple providers
Our services and models are deployed to Kubernetes using Docker
**About Zendesk**
Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth.
More than 100,000 paid customer accounts in over 150 countries and territories use Zendesk products. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America.
Interested in knowing what we do in the community? Check out the Zendesk Neighbor Foundation to learn more about how we engage with, and provide support to, our local communities.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
By submitting your application, you agree that Zendesk may collect your personal data for recruiting, global organization planning, and related purposes. Zendesk's Candidate Privacy Notice explains what personal information Zendesk may process, where Zendesk may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Zendesk’s use of your personal information.
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Desculpe, este trabalho não está disponível em sua região
2
Software Engineer II, CoPilot
Setúbal, Lisboa
Zendesk
Hoje
Trabalho visualizado
Descrição Do Trabalho
*Job Description*
At Zendesk, our focus is helping our customers build great relationships with their customers. Founded by three Danish entrepreneurs, Zendesk has experienced remarkable success and growth while maintaining a fun, positive, and down-to-earth culture.
We are looking for a Machine Learning Engineer to join our Machine Learning team. You will be delivering AI/ML powered features for our customers at Zendesk scale.
*What you will be doing*
* Work closely with ML Scientists and Senior Engineers to help bring ML-powered features into production
* Participate in discussions about technical design and contribute ideas
* Assist in building tools to support model experimentation and model management
* Collaborate with DevOps, feature teams, platform teams, and product
* Support initiatives around improving the scalability and robustness of our platforms
* Help design, prototype, and refine scalable infrastructure
** What you bring to the role **
* Required *
* Proficient in at least one of Python or Ruby
* At least 1 year of experience in building, scaling, or operating applications, with an eagerness to develop your skills further
* Familiarity with RESTful API, Kafka, Docker, Kubernetes, and cloud environments like AWS or GCP
* Ability to work through ambiguity with guidance from others, and adapt to changing priorities
* Deep respect for team collaboration and openness to learning from others
* Interest in building solutions utilizing AI/ML
* Preferred *
* Experience with either Airflow or Metaflow
* Experience with recent tooling around LLM evaluation and monitoring
* Familiar with one of the machine learning libraries such as Pytorch
* Experience with either SQL or DBT
** Tech Stack **
* *Our code is written in Python and Ruby*
* Our servers live in AWS
* Our local machine learning models rely on Pytorch
* Our ML pipelines use Airflow and Metaflow
* Our data is stored in S3, RDS MySQL and Snowflake
* Our services and models are deployed to Kubernetes using Docker
* Heavy usage of LLM technology from multiple providers
Our services and models are deployed to Kubernetes using Docker
**About Zendesk**
Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth.
More than 100,000 paid customer accounts in over 150 countries and territories use Zendesk products. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America.
Interested in knowing what we do in the community? Check out the Zendesk Neighbor Foundation to learn more about how we engage with, and provide support to, our local communities.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
By submitting your application, you agree that Zendesk may collect your personal data for recruiting, global organization planning, and related purposes. Zendesk's Candidate Privacy Notice explains what personal information Zendesk may process, where Zendesk may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Zendesk’s use of your personal information.
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
At Zendesk, our focus is helping our customers build great relationships with their customers. Founded by three Danish entrepreneurs, Zendesk has experienced remarkable success and growth while maintaining a fun, positive, and down-to-earth culture.
We are looking for a Machine Learning Engineer to join our Machine Learning team. You will be delivering AI/ML powered features for our customers at Zendesk scale.
*What you will be doing*
* Work closely with ML Scientists and Senior Engineers to help bring ML-powered features into production
* Participate in discussions about technical design and contribute ideas
* Assist in building tools to support model experimentation and model management
* Collaborate with DevOps, feature teams, platform teams, and product
* Support initiatives around improving the scalability and robustness of our platforms
* Help design, prototype, and refine scalable infrastructure
** What you bring to the role **
* Required *
* Proficient in at least one of Python or Ruby
* At least 1 year of experience in building, scaling, or operating applications, with an eagerness to develop your skills further
* Familiarity with RESTful API, Kafka, Docker, Kubernetes, and cloud environments like AWS or GCP
* Ability to work through ambiguity with guidance from others, and adapt to changing priorities
* Deep respect for team collaboration and openness to learning from others
* Interest in building solutions utilizing AI/ML
* Preferred *
* Experience with either Airflow or Metaflow
* Experience with recent tooling around LLM evaluation and monitoring
* Familiar with one of the machine learning libraries such as Pytorch
* Experience with either SQL or DBT
** Tech Stack **
* *Our code is written in Python and Ruby*
* Our servers live in AWS
* Our local machine learning models rely on Pytorch
* Our ML pipelines use Airflow and Metaflow
* Our data is stored in S3, RDS MySQL and Snowflake
* Our services and models are deployed to Kubernetes using Docker
* Heavy usage of LLM technology from multiple providers
Our services and models are deployed to Kubernetes using Docker
**About Zendesk**
Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth.
More than 100,000 paid customer accounts in over 150 countries and territories use Zendesk products. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America.
Interested in knowing what we do in the community? Check out the Zendesk Neighbor Foundation to learn more about how we engage with, and provide support to, our local communities.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
By submitting your application, you agree that Zendesk may collect your personal data for recruiting, global organization planning, and related purposes. Zendesk's Candidate Privacy Notice explains what personal information Zendesk may process, where Zendesk may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Zendesk’s use of your personal information.
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Desculpe, este trabalho não está disponível em sua região
3
Staff Machine Learning Scientist
Seixal, Lisboa
Zendesk
Hoje
Trabalho visualizado
Descrição Do Trabalho
*Job Description*
Zendesk’s people have one goal in mind: to make Customer Experience better. Our products help more than 125,000 global brands (AirBnb, Uber, JetBrains, Slack, among others) make their billions of customers happy, every day.
Our team is responsible for helping Customer Experience teams to achieve their best, by intelligently solving repetitive work, so they can shift their focus to solving more sophisticated problems. We use the latest trends in Machine Learning and AI algorithms to help us on that mission, and we're passionate about empowering our customers.
As a Staff Machine Learning Scientist you are a recognized leader and domain expert, responsible for advancing the state-of-the-art in ML/AI for customer service at a global scale. You steer research vision, mentor scientists across teams, and drive adoption of foundational models powering Zendesk’s most impactful features.
* What you get to do every day *
* Lead end-to-end design, development, and deployment of novel ML/LLM models and algorithms-defining research agendas that shape Zendesk’s AI-powered roadmap.
* Pioneer large, complex initiatives across product lines, such as building multilingual, real-time language/intent/sentiment analysis frameworks, conversational AI agents, and next-generation agent-assist solutions.
* Define and drive experimentation standards, statistically robust offline/online evaluations, and model governance for compliance, fairness, and explainability.
* Bridge cutting-edge research and production, collaborating with Engineering to build systems that scale globally and meet real-world performance constraints.
* Mentor, guide, and develop Senior Scientists and Engineers, fostering a culture of scientific rigor, creativity, and technical excellence across the organization.
* Represent Zendesk externally-publishing papers, speaking at conferences, and engaging with the wider ML/AI community.
* Advise leadership on ML/AI technology strategy and assess emerging industry trends for integration into Zendesk solutions.
* Mentor junior scientists and help grow the ML research culture.
* Key challenges / use cases *
* How do we enrich customer service conversations with accurate language detection, intent recognition, and real-time sentiment analysis, to enable proactive customer engagement and optimal routing?
* How can we automate all customer service interactions as much as possible, from process automation to agent assistance and chatbots with a knowledge base?
* How do we optimize routing at scale-matching tickets or chats to the most appropriate agent/team in real-time across multiple languages and regions?
* How do we automate large-scale A/B testing and model evaluation (online and offline) to continually iterate and improve ML-driven triage and agent-assist tools?
* What novel approaches or architectures (e.g., retrieval-augmented generation, few-shot/fine-tuning strategies) can extend our conversational AI platforms to unlock new customer support use cases and modalities?
* How do we efficiently operationalize, monitor, and update large-scale (LLM/ML) models in dynamic, high-throughput production settings, ensuring model health, drift detection, and continuous learning?
* How do we combine signals from conversation context, customer history, and external data to improve prediction and decision accuracy across our ML services?
* What are the emerging advancements in ML/AI research (e.g., large language models, efficient adaptation, re-ranking, retrieval, or explainable AI) that should be incorporated into Zendesk’s customer experience ecosystem?
* How can we bridge the gap between cutting-edge research and impactful product features, rapidly validating ideas in production and quantifying their real-world business value?
* And many more!
* What you bring to the role *
* MSc degree (PhD preferred) in computer science, electrical engineering, math, or related areas.
* Substantial track record of impactful research and deployment of ML/AI solutions at scale-preferably in NLP, LLMs or information retrieval.
* Proven technical and research leadership across projects/teams; ability to define research vision and influence organizational direction.
* Deep expertise in experimental design, statistical analysis, and ML science best practices.
* Strong coding skills in Python; experience with ML frameworks (preferably PyTorch).
* Experience with large-scale experimentation (e.g., A/B testing), data analysis, and performance tracking.
* Outstanding mentorship and communication skills-able to both advance scientific discourse and influence engineering/product execution.
* Be pragmatic and results oriented.
* Recognized contributions to the scientific community (publications, open source, talks) a strong plus.
* What our tech stack looks like *
* Our code is written in Python and Ruby.
* Our servers live in AWS.
* Our machine learning models rely on PyTorch.
* Our ML pipelines use AWS Batch and MetaFlow.
* Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, Snowflake and Aurora.
* Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing.
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Zendesk’s people have one goal in mind: to make Customer Experience better. Our products help more than 125,000 global brands (AirBnb, Uber, JetBrains, Slack, among others) make their billions of customers happy, every day.
Our team is responsible for helping Customer Experience teams to achieve their best, by intelligently solving repetitive work, so they can shift their focus to solving more sophisticated problems. We use the latest trends in Machine Learning and AI algorithms to help us on that mission, and we're passionate about empowering our customers.
As a Staff Machine Learning Scientist you are a recognized leader and domain expert, responsible for advancing the state-of-the-art in ML/AI for customer service at a global scale. You steer research vision, mentor scientists across teams, and drive adoption of foundational models powering Zendesk’s most impactful features.
* What you get to do every day *
* Lead end-to-end design, development, and deployment of novel ML/LLM models and algorithms-defining research agendas that shape Zendesk’s AI-powered roadmap.
* Pioneer large, complex initiatives across product lines, such as building multilingual, real-time language/intent/sentiment analysis frameworks, conversational AI agents, and next-generation agent-assist solutions.
* Define and drive experimentation standards, statistically robust offline/online evaluations, and model governance for compliance, fairness, and explainability.
* Bridge cutting-edge research and production, collaborating with Engineering to build systems that scale globally and meet real-world performance constraints.
* Mentor, guide, and develop Senior Scientists and Engineers, fostering a culture of scientific rigor, creativity, and technical excellence across the organization.
* Represent Zendesk externally-publishing papers, speaking at conferences, and engaging with the wider ML/AI community.
* Advise leadership on ML/AI technology strategy and assess emerging industry trends for integration into Zendesk solutions.
* Mentor junior scientists and help grow the ML research culture.
* Key challenges / use cases *
* How do we enrich customer service conversations with accurate language detection, intent recognition, and real-time sentiment analysis, to enable proactive customer engagement and optimal routing?
* How can we automate all customer service interactions as much as possible, from process automation to agent assistance and chatbots with a knowledge base?
* How do we optimize routing at scale-matching tickets or chats to the most appropriate agent/team in real-time across multiple languages and regions?
* How do we automate large-scale A/B testing and model evaluation (online and offline) to continually iterate and improve ML-driven triage and agent-assist tools?
* What novel approaches or architectures (e.g., retrieval-augmented generation, few-shot/fine-tuning strategies) can extend our conversational AI platforms to unlock new customer support use cases and modalities?
* How do we efficiently operationalize, monitor, and update large-scale (LLM/ML) models in dynamic, high-throughput production settings, ensuring model health, drift detection, and continuous learning?
* How do we combine signals from conversation context, customer history, and external data to improve prediction and decision accuracy across our ML services?
* What are the emerging advancements in ML/AI research (e.g., large language models, efficient adaptation, re-ranking, retrieval, or explainable AI) that should be incorporated into Zendesk’s customer experience ecosystem?
* How can we bridge the gap between cutting-edge research and impactful product features, rapidly validating ideas in production and quantifying their real-world business value?
* And many more!
* What you bring to the role *
* MSc degree (PhD preferred) in computer science, electrical engineering, math, or related areas.
* Substantial track record of impactful research and deployment of ML/AI solutions at scale-preferably in NLP, LLMs or information retrieval.
* Proven technical and research leadership across projects/teams; ability to define research vision and influence organizational direction.
* Deep expertise in experimental design, statistical analysis, and ML science best practices.
* Strong coding skills in Python; experience with ML frameworks (preferably PyTorch).
* Experience with large-scale experimentation (e.g., A/B testing), data analysis, and performance tracking.
* Outstanding mentorship and communication skills-able to both advance scientific discourse and influence engineering/product execution.
* Be pragmatic and results oriented.
* Recognized contributions to the scientific community (publications, open source, talks) a strong plus.
* What our tech stack looks like *
* Our code is written in Python and Ruby.
* Our servers live in AWS.
* Our machine learning models rely on PyTorch.
* Our ML pipelines use AWS Batch and MetaFlow.
* Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, Snowflake and Aurora.
* Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing.
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Desculpe, este trabalho não está disponível em sua região
4
Staff Machine Learning Scientist
Setúbal, Lisboa
Zendesk
Hoje
Trabalho visualizado
Descrição Do Trabalho
*Job Description*
Zendesk’s people have one goal in mind: to make Customer Experience better. Our products help more than 125,000 global brands (AirBnb, Uber, JetBrains, Slack, among others) make their billions of customers happy, every day.
Our team is responsible for helping Customer Experience teams to achieve their best, by intelligently solving repetitive work, so they can shift their focus to solving more sophisticated problems. We use the latest trends in Machine Learning and AI algorithms to help us on that mission, and we're passionate about empowering our customers.
As a Staff Machine Learning Scientist you are a recognized leader and domain expert, responsible for advancing the state-of-the-art in ML/AI for customer service at a global scale. You steer research vision, mentor scientists across teams, and drive adoption of foundational models powering Zendesk’s most impactful features.
* What you get to do every day *
* Lead end-to-end design, development, and deployment of novel ML/LLM models and algorithms-defining research agendas that shape Zendesk’s AI-powered roadmap.
* Pioneer large, complex initiatives across product lines, such as building multilingual, real-time language/intent/sentiment analysis frameworks, conversational AI agents, and next-generation agent-assist solutions.
* Define and drive experimentation standards, statistically robust offline/online evaluations, and model governance for compliance, fairness, and explainability.
* Bridge cutting-edge research and production, collaborating with Engineering to build systems that scale globally and meet real-world performance constraints.
* Mentor, guide, and develop Senior Scientists and Engineers, fostering a culture of scientific rigor, creativity, and technical excellence across the organization.
* Represent Zendesk externally-publishing papers, speaking at conferences, and engaging with the wider ML/AI community.
* Advise leadership on ML/AI technology strategy and assess emerging industry trends for integration into Zendesk solutions.
* Mentor junior scientists and help grow the ML research culture.
* Key challenges / use cases *
* How do we enrich customer service conversations with accurate language detection, intent recognition, and real-time sentiment analysis, to enable proactive customer engagement and optimal routing?
* How can we automate all customer service interactions as much as possible, from process automation to agent assistance and chatbots with a knowledge base?
* How do we optimize routing at scale-matching tickets or chats to the most appropriate agent/team in real-time across multiple languages and regions?
* How do we automate large-scale A/B testing and model evaluation (online and offline) to continually iterate and improve ML-driven triage and agent-assist tools?
* What novel approaches or architectures (e.g., retrieval-augmented generation, few-shot/fine-tuning strategies) can extend our conversational AI platforms to unlock new customer support use cases and modalities?
* How do we efficiently operationalize, monitor, and update large-scale (LLM/ML) models in dynamic, high-throughput production settings, ensuring model health, drift detection, and continuous learning?
* How do we combine signals from conversation context, customer history, and external data to improve prediction and decision accuracy across our ML services?
* What are the emerging advancements in ML/AI research (e.g., large language models, efficient adaptation, re-ranking, retrieval, or explainable AI) that should be incorporated into Zendesk’s customer experience ecosystem?
* How can we bridge the gap between cutting-edge research and impactful product features, rapidly validating ideas in production and quantifying their real-world business value?
* And many more!
* What you bring to the role *
* MSc degree (PhD preferred) in computer science, electrical engineering, math, or related areas.
* Substantial track record of impactful research and deployment of ML/AI solutions at scale-preferably in NLP, LLMs or information retrieval.
* Proven technical and research leadership across projects/teams; ability to define research vision and influence organizational direction.
* Deep expertise in experimental design, statistical analysis, and ML science best practices.
* Strong coding skills in Python; experience with ML frameworks (preferably PyTorch).
* Experience with large-scale experimentation (e.g., A/B testing), data analysis, and performance tracking.
* Outstanding mentorship and communication skills-able to both advance scientific discourse and influence engineering/product execution.
* Be pragmatic and results oriented.
* Recognized contributions to the scientific community (publications, open source, talks) a strong plus.
* What our tech stack looks like *
* Our code is written in Python and Ruby.
* Our servers live in AWS.
* Our machine learning models rely on PyTorch.
* Our ML pipelines use AWS Batch and MetaFlow.
* Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, Snowflake and Aurora.
* Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing.
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Zendesk’s people have one goal in mind: to make Customer Experience better. Our products help more than 125,000 global brands (AirBnb, Uber, JetBrains, Slack, among others) make their billions of customers happy, every day.
Our team is responsible for helping Customer Experience teams to achieve their best, by intelligently solving repetitive work, so they can shift their focus to solving more sophisticated problems. We use the latest trends in Machine Learning and AI algorithms to help us on that mission, and we're passionate about empowering our customers.
As a Staff Machine Learning Scientist you are a recognized leader and domain expert, responsible for advancing the state-of-the-art in ML/AI for customer service at a global scale. You steer research vision, mentor scientists across teams, and drive adoption of foundational models powering Zendesk’s most impactful features.
* What you get to do every day *
* Lead end-to-end design, development, and deployment of novel ML/LLM models and algorithms-defining research agendas that shape Zendesk’s AI-powered roadmap.
* Pioneer large, complex initiatives across product lines, such as building multilingual, real-time language/intent/sentiment analysis frameworks, conversational AI agents, and next-generation agent-assist solutions.
* Define and drive experimentation standards, statistically robust offline/online evaluations, and model governance for compliance, fairness, and explainability.
* Bridge cutting-edge research and production, collaborating with Engineering to build systems that scale globally and meet real-world performance constraints.
* Mentor, guide, and develop Senior Scientists and Engineers, fostering a culture of scientific rigor, creativity, and technical excellence across the organization.
* Represent Zendesk externally-publishing papers, speaking at conferences, and engaging with the wider ML/AI community.
* Advise leadership on ML/AI technology strategy and assess emerging industry trends for integration into Zendesk solutions.
* Mentor junior scientists and help grow the ML research culture.
* Key challenges / use cases *
* How do we enrich customer service conversations with accurate language detection, intent recognition, and real-time sentiment analysis, to enable proactive customer engagement and optimal routing?
* How can we automate all customer service interactions as much as possible, from process automation to agent assistance and chatbots with a knowledge base?
* How do we optimize routing at scale-matching tickets or chats to the most appropriate agent/team in real-time across multiple languages and regions?
* How do we automate large-scale A/B testing and model evaluation (online and offline) to continually iterate and improve ML-driven triage and agent-assist tools?
* What novel approaches or architectures (e.g., retrieval-augmented generation, few-shot/fine-tuning strategies) can extend our conversational AI platforms to unlock new customer support use cases and modalities?
* How do we efficiently operationalize, monitor, and update large-scale (LLM/ML) models in dynamic, high-throughput production settings, ensuring model health, drift detection, and continuous learning?
* How do we combine signals from conversation context, customer history, and external data to improve prediction and decision accuracy across our ML services?
* What are the emerging advancements in ML/AI research (e.g., large language models, efficient adaptation, re-ranking, retrieval, or explainable AI) that should be incorporated into Zendesk’s customer experience ecosystem?
* How can we bridge the gap between cutting-edge research and impactful product features, rapidly validating ideas in production and quantifying their real-world business value?
* And many more!
* What you bring to the role *
* MSc degree (PhD preferred) in computer science, electrical engineering, math, or related areas.
* Substantial track record of impactful research and deployment of ML/AI solutions at scale-preferably in NLP, LLMs or information retrieval.
* Proven technical and research leadership across projects/teams; ability to define research vision and influence organizational direction.
* Deep expertise in experimental design, statistical analysis, and ML science best practices.
* Strong coding skills in Python; experience with ML frameworks (preferably PyTorch).
* Experience with large-scale experimentation (e.g., A/B testing), data analysis, and performance tracking.
* Outstanding mentorship and communication skills-able to both advance scientific discourse and influence engineering/product execution.
* Be pragmatic and results oriented.
* Recognized contributions to the scientific community (publications, open source, talks) a strong plus.
* What our tech stack looks like *
* Our code is written in Python and Ruby.
* Our servers live in AWS.
* Our machine learning models rely on PyTorch.
* Our ML pipelines use AWS Batch and MetaFlow.
* Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, Snowflake and Aurora.
* Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing.
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Desculpe, este trabalho não está disponível em sua região
5
Senior Software Engineer
Seixal, Lisboa
Zendesk
Hoje
Trabalho visualizado
Descrição Do Trabalho
*Job Description*
* Job Summary *
At Zendesk, our focus is helping our customers build great relationships with their customers. Founded by three Danish entrepreneurs, Zendesk has experienced remarkable success and growth while maintaining a fun, positive, and down-to-earth culture.
We are looking for a Senior Software Engineer to join our AI Copilot team. You will be delivering AI/ML powered features for our customers at Zendesk scale.
* What you’ll be doing *
* Work closely with ML Scientists to help bring ML-powered features into production
* Contribute to discussions about technical design
* Build tools to support model experimentation and model management
* Collaborate with DevOps, feature teams, platform teams and product
* Contribute to initiatives around improving the scalability and robustness of our platforms
* Design, prototype, and refine scalable infrastructure
* What you bring to the role *
* Required *
* Fluent in at least one of Python or Ruby
* At least 3 years of background in building, scaling, and operating large scale applications
* Previous experience delivering AI products
* Fluency with RESTful API, Kafka, Docker, Kubernetes, and cloud-like AWS or GCP
* Ability to work with uncertainty and the flexibility to pivot with changing priorities
* Deep respect and desire for team collaboration and members perspectives
* Preferred *
* Experience with either Airflow or Metaflow
* Experience with recent tooling around LLM evaluation and monitoring
* Familiar with one of the machine learning libraries such as Pytorch
* Experience with either SQL or DBT
* Tech Stack *
* Our code is written in Python and Ruby
* Our servers live in AWS
* Our machine learning models rely on Pytorch
* Our ML pipelines use Airflow and Metaflow
* Our data is stored in S3, RDS MySQL and Snowflake
* Our services and models are deployed to Kubernetes using Docker
* Heavy usage of LLM technology from multiple providers
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
* Job Summary *
At Zendesk, our focus is helping our customers build great relationships with their customers. Founded by three Danish entrepreneurs, Zendesk has experienced remarkable success and growth while maintaining a fun, positive, and down-to-earth culture.
We are looking for a Senior Software Engineer to join our AI Copilot team. You will be delivering AI/ML powered features for our customers at Zendesk scale.
* What you’ll be doing *
* Work closely with ML Scientists to help bring ML-powered features into production
* Contribute to discussions about technical design
* Build tools to support model experimentation and model management
* Collaborate with DevOps, feature teams, platform teams and product
* Contribute to initiatives around improving the scalability and robustness of our platforms
* Design, prototype, and refine scalable infrastructure
* What you bring to the role *
* Required *
* Fluent in at least one of Python or Ruby
* At least 3 years of background in building, scaling, and operating large scale applications
* Previous experience delivering AI products
* Fluency with RESTful API, Kafka, Docker, Kubernetes, and cloud-like AWS or GCP
* Ability to work with uncertainty and the flexibility to pivot with changing priorities
* Deep respect and desire for team collaboration and members perspectives
* Preferred *
* Experience with either Airflow or Metaflow
* Experience with recent tooling around LLM evaluation and monitoring
* Familiar with one of the machine learning libraries such as Pytorch
* Experience with either SQL or DBT
* Tech Stack *
* Our code is written in Python and Ruby
* Our servers live in AWS
* Our machine learning models rely on Pytorch
* Our ML pipelines use Airflow and Metaflow
* Our data is stored in S3, RDS MySQL and Snowflake
* Our services and models are deployed to Kubernetes using Docker
* Heavy usage of LLM technology from multiple providers
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Desculpe, este trabalho não está disponível em sua região
Seja o primeiro a saber
Sobre o mais recente Todos empregos Empregos em Setúbal !
6
Senior Software Engineer
Setúbal, Lisboa
Zendesk
Hoje
Trabalho visualizado
Descrição Do Trabalho
*Job Description*
* Job Summary *
At Zendesk, our focus is helping our customers build great relationships with their customers. Founded by three Danish entrepreneurs, Zendesk has experienced remarkable success and growth while maintaining a fun, positive, and down-to-earth culture.
We are looking for a Senior Software Engineer to join our AI Copilot team. You will be delivering AI/ML powered features for our customers at Zendesk scale.
* What you’ll be doing *
* Work closely with ML Scientists to help bring ML-powered features into production
* Contribute to discussions about technical design
* Build tools to support model experimentation and model management
* Collaborate with DevOps, feature teams, platform teams and product
* Contribute to initiatives around improving the scalability and robustness of our platforms
* Design, prototype, and refine scalable infrastructure
* What you bring to the role *
* Required *
* Fluent in at least one of Python or Ruby
* At least 3 years of background in building, scaling, and operating large scale applications
* Previous experience delivering AI products
* Fluency with RESTful API, Kafka, Docker, Kubernetes, and cloud-like AWS or GCP
* Ability to work with uncertainty and the flexibility to pivot with changing priorities
* Deep respect and desire for team collaboration and members perspectives
* Preferred *
* Experience with either Airflow or Metaflow
* Experience with recent tooling around LLM evaluation and monitoring
* Familiar with one of the machine learning libraries such as Pytorch
* Experience with either SQL or DBT
* Tech Stack *
* Our code is written in Python and Ruby
* Our servers live in AWS
* Our machine learning models rely on Pytorch
* Our ML pipelines use Airflow and Metaflow
* Our data is stored in S3, RDS MySQL and Snowflake
* Our services and models are deployed to Kubernetes using Docker
* Heavy usage of LLM technology from multiple providers
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
* Job Summary *
At Zendesk, our focus is helping our customers build great relationships with their customers. Founded by three Danish entrepreneurs, Zendesk has experienced remarkable success and growth while maintaining a fun, positive, and down-to-earth culture.
We are looking for a Senior Software Engineer to join our AI Copilot team. You will be delivering AI/ML powered features for our customers at Zendesk scale.
* What you’ll be doing *
* Work closely with ML Scientists to help bring ML-powered features into production
* Contribute to discussions about technical design
* Build tools to support model experimentation and model management
* Collaborate with DevOps, feature teams, platform teams and product
* Contribute to initiatives around improving the scalability and robustness of our platforms
* Design, prototype, and refine scalable infrastructure
* What you bring to the role *
* Required *
* Fluent in at least one of Python or Ruby
* At least 3 years of background in building, scaling, and operating large scale applications
* Previous experience delivering AI products
* Fluency with RESTful API, Kafka, Docker, Kubernetes, and cloud-like AWS or GCP
* Ability to work with uncertainty and the flexibility to pivot with changing priorities
* Deep respect and desire for team collaboration and members perspectives
* Preferred *
* Experience with either Airflow or Metaflow
* Experience with recent tooling around LLM evaluation and monitoring
* Familiar with one of the machine learning libraries such as Pytorch
* Experience with either SQL or DBT
* Tech Stack *
* Our code is written in Python and Ruby
* Our servers live in AWS
* Our machine learning models rely on Pytorch
* Our ML pipelines use Airflow and Metaflow
* Our data is stored in S3, RDS MySQL and Snowflake
* Our services and models are deployed to Kubernetes using Docker
* Heavy usage of LLM technology from multiple providers
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Desculpe, este trabalho não está disponível em sua região
7
Ruby Software Engineer, Internationalization
Seixal, Lisboa
Zendesk
Hoje
Trabalho visualizado
Descrição Do Trabalho
*Job Description*
Zendesk is seeking a highly motivated Software Engineer to join our Internationalization team. This is an exciting opportunity to contribute to enabling our products to reach a global audience. You will also collaborate across teams to guide and improve internationalization practices.
*What we’re doing every day:*
* Collaborate with cross-functional teams to design, develop, and maintain internationalization features in our software products.
* Write clean, scalable, and efficient code mainly using Ruby on Rails, Node.js, and TypeScript.
* Collaborate closely with the Localization teams to build tools and scripts that streamline their workflows.
* Participate in code reviews, testing, and documentation to ensure high-quality software.
* Continuously learn new programming languages, frameworks, and best practices to enhance development capabilities.
* Engage in technical discussions, planning, retrospectives, and team rituals within a remote-friendly, inclusive culture, following Agile methodologies.
* Troubleshoot and resolve technical issues related to internationalization features.
* Contribute to a culture of innovation, technical inquisitiveness, and continuous improvement.
* Be part of company-wide inclusion and diversity initiatives including volunteering time, learning sessions or training.
* Enjoy our company benefits such as regular team lunches, remote meet-ups, online conferences, unlimited Paid Time Off and much more.
Sound like something you'd enjoy doing? Let's talk about what kind of candidate we're looking for.
*What you bring to the role*
*Qualifications*
* Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
* Proficiency in Ruby (Ruby on Rails), Node.js, and TypeScript is preferred; familiarity with other programming languages and web frameworks is a plus.
* Strong problem-solving skills and eagerness to learn new technologies and techniques.
* Ability to work independently as well as collaboratively in a team environment.
* Familiarity with Agile methodology and experience working in Agile teams is highly desirable.
* Passion for software development, with a keen interest in internationalization and localization.
* Excellent communication skills and a proactive approach towards personal and professional growth.
* Proficient in English, both written and verbal.
*Tech Stack*
* Our application code is mostly written in TypeScript, JavaScript, and Ruby.
* Our data is stored on Redis, MySQL and S3
* Our workloads run on Kubernetes clusters running on AWS.
*What gives you an edge*
This is what can set you apart from the other candidates, but we don't expect you to have.
* Having a multi-cultural experience (living in another country for instance)
* Contribution to Open-source internationalization-related standards or libraries.
* Understanding or fluency in a right-to-left (RTL) language
* Experience with Internationalization and Localization
*Why Join Zendesk:*
* Work on products that impact millions of users around the world.
* Be part of a diverse and inclusive team driven by technical excellence.
* Opportunities to grow your skills and advance your career.
* Collaborative and supportive work environment that values innovation and learning.
* Hybrid model: 4 days a month at the Lisbon office
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Zendesk is seeking a highly motivated Software Engineer to join our Internationalization team. This is an exciting opportunity to contribute to enabling our products to reach a global audience. You will also collaborate across teams to guide and improve internationalization practices.
*What we’re doing every day:*
* Collaborate with cross-functional teams to design, develop, and maintain internationalization features in our software products.
* Write clean, scalable, and efficient code mainly using Ruby on Rails, Node.js, and TypeScript.
* Collaborate closely with the Localization teams to build tools and scripts that streamline their workflows.
* Participate in code reviews, testing, and documentation to ensure high-quality software.
* Continuously learn new programming languages, frameworks, and best practices to enhance development capabilities.
* Engage in technical discussions, planning, retrospectives, and team rituals within a remote-friendly, inclusive culture, following Agile methodologies.
* Troubleshoot and resolve technical issues related to internationalization features.
* Contribute to a culture of innovation, technical inquisitiveness, and continuous improvement.
* Be part of company-wide inclusion and diversity initiatives including volunteering time, learning sessions or training.
* Enjoy our company benefits such as regular team lunches, remote meet-ups, online conferences, unlimited Paid Time Off and much more.
Sound like something you'd enjoy doing? Let's talk about what kind of candidate we're looking for.
*What you bring to the role*
*Qualifications*
* Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
* Proficiency in Ruby (Ruby on Rails), Node.js, and TypeScript is preferred; familiarity with other programming languages and web frameworks is a plus.
* Strong problem-solving skills and eagerness to learn new technologies and techniques.
* Ability to work independently as well as collaboratively in a team environment.
* Familiarity with Agile methodology and experience working in Agile teams is highly desirable.
* Passion for software development, with a keen interest in internationalization and localization.
* Excellent communication skills and a proactive approach towards personal and professional growth.
* Proficient in English, both written and verbal.
*Tech Stack*
* Our application code is mostly written in TypeScript, JavaScript, and Ruby.
* Our data is stored on Redis, MySQL and S3
* Our workloads run on Kubernetes clusters running on AWS.
*What gives you an edge*
This is what can set you apart from the other candidates, but we don't expect you to have.
* Having a multi-cultural experience (living in another country for instance)
* Contribution to Open-source internationalization-related standards or libraries.
* Understanding or fluency in a right-to-left (RTL) language
* Experience with Internationalization and Localization
*Why Join Zendesk:*
* Work on products that impact millions of users around the world.
* Be part of a diverse and inclusive team driven by technical excellence.
* Opportunities to grow your skills and advance your career.
* Collaborative and supportive work environment that values innovation and learning.
* Hybrid model: 4 days a month at the Lisbon office
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Desculpe, este trabalho não está disponível em sua região
8
Ruby Software Engineer, Internationalization
Setúbal, Lisboa
Zendesk
Hoje
Trabalho visualizado
Descrição Do Trabalho
*Job Description*
Zendesk is seeking a highly motivated Software Engineer to join our Internationalization team. This is an exciting opportunity to contribute to enabling our products to reach a global audience. You will also collaborate across teams to guide and improve internationalization practices.
*What we’re doing every day:*
* Collaborate with cross-functional teams to design, develop, and maintain internationalization features in our software products.
* Write clean, scalable, and efficient code mainly using Ruby on Rails, Node.js, and TypeScript.
* Collaborate closely with the Localization teams to build tools and scripts that streamline their workflows.
* Participate in code reviews, testing, and documentation to ensure high-quality software.
* Continuously learn new programming languages, frameworks, and best practices to enhance development capabilities.
* Engage in technical discussions, planning, retrospectives, and team rituals within a remote-friendly, inclusive culture, following Agile methodologies.
* Troubleshoot and resolve technical issues related to internationalization features.
* Contribute to a culture of innovation, technical inquisitiveness, and continuous improvement.
* Be part of company-wide inclusion and diversity initiatives including volunteering time, learning sessions or training.
* Enjoy our company benefits such as regular team lunches, remote meet-ups, online conferences, unlimited Paid Time Off and much more.
Sound like something you'd enjoy doing? Let's talk about what kind of candidate we're looking for.
*What you bring to the role*
*Qualifications*
* Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
* Proficiency in Ruby (Ruby on Rails), Node.js, and TypeScript is preferred; familiarity with other programming languages and web frameworks is a plus.
* Strong problem-solving skills and eagerness to learn new technologies and techniques.
* Ability to work independently as well as collaboratively in a team environment.
* Familiarity with Agile methodology and experience working in Agile teams is highly desirable.
* Passion for software development, with a keen interest in internationalization and localization.
* Excellent communication skills and a proactive approach towards personal and professional growth.
* Proficient in English, both written and verbal.
*Tech Stack*
* Our application code is mostly written in TypeScript, JavaScript, and Ruby.
* Our data is stored on Redis, MySQL and S3
* Our workloads run on Kubernetes clusters running on AWS.
*What gives you an edge*
This is what can set you apart from the other candidates, but we don't expect you to have.
* Having a multi-cultural experience (living in another country for instance)
* Contribution to Open-source internationalization-related standards or libraries.
* Understanding or fluency in a right-to-left (RTL) language
* Experience with Internationalization and Localization
*Why Join Zendesk:*
* Work on products that impact millions of users around the world.
* Be part of a diverse and inclusive team driven by technical excellence.
* Opportunities to grow your skills and advance your career.
* Collaborative and supportive work environment that values innovation and learning.
* Hybrid model: 4 days a month at the Lisbon office
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Zendesk is seeking a highly motivated Software Engineer to join our Internationalization team. This is an exciting opportunity to contribute to enabling our products to reach a global audience. You will also collaborate across teams to guide and improve internationalization practices.
*What we’re doing every day:*
* Collaborate with cross-functional teams to design, develop, and maintain internationalization features in our software products.
* Write clean, scalable, and efficient code mainly using Ruby on Rails, Node.js, and TypeScript.
* Collaborate closely with the Localization teams to build tools and scripts that streamline their workflows.
* Participate in code reviews, testing, and documentation to ensure high-quality software.
* Continuously learn new programming languages, frameworks, and best practices to enhance development capabilities.
* Engage in technical discussions, planning, retrospectives, and team rituals within a remote-friendly, inclusive culture, following Agile methodologies.
* Troubleshoot and resolve technical issues related to internationalization features.
* Contribute to a culture of innovation, technical inquisitiveness, and continuous improvement.
* Be part of company-wide inclusion and diversity initiatives including volunteering time, learning sessions or training.
* Enjoy our company benefits such as regular team lunches, remote meet-ups, online conferences, unlimited Paid Time Off and much more.
Sound like something you'd enjoy doing? Let's talk about what kind of candidate we're looking for.
*What you bring to the role*
*Qualifications*
* Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
* Proficiency in Ruby (Ruby on Rails), Node.js, and TypeScript is preferred; familiarity with other programming languages and web frameworks is a plus.
* Strong problem-solving skills and eagerness to learn new technologies and techniques.
* Ability to work independently as well as collaboratively in a team environment.
* Familiarity with Agile methodology and experience working in Agile teams is highly desirable.
* Passion for software development, with a keen interest in internationalization and localization.
* Excellent communication skills and a proactive approach towards personal and professional growth.
* Proficient in English, both written and verbal.
*Tech Stack*
* Our application code is mostly written in TypeScript, JavaScript, and Ruby.
* Our data is stored on Redis, MySQL and S3
* Our workloads run on Kubernetes clusters running on AWS.
*What gives you an edge*
This is what can set you apart from the other candidates, but we don't expect you to have.
* Having a multi-cultural experience (living in another country for instance)
* Contribution to Open-source internationalization-related standards or libraries.
* Understanding or fluency in a right-to-left (RTL) language
* Experience with Internationalization and Localization
*Why Join Zendesk:*
* Work on products that impact millions of users around the world.
* Be part of a diverse and inclusive team driven by technical excellence.
* Opportunities to grow your skills and advance your career.
* Collaborative and supportive work environment that values innovation and learning.
* Hybrid model: 4 days a month at the Lisbon office
#LI-AO1
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
*The intelligent heart of customer experience*
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
Desculpe, este trabalho não está disponível em sua região
9