8.647 Empregos em Sacavém

*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 ML Engineer, you will be a technical leader who shapes the vision and execution of ML/AI products at scale. You'll drive architecture and design decisions, influence the broader engineering strategy, lead complex projects that span teams, and mentor the next generation of technical talent. Your work will impact millions of users and set standards for ML engineering across Zendesk.

* What you get to do every day *

* Architect, design, and deliver ML-powered systems and features (e.g., intent detection, sentiment/language analysis, intelligent agent routing, chatbots) at a global scale with reliability, efficiency, and maintainability as core principles.

* 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 large-scale, high-impact initiatives: define technical roadmaps, validate trade-offs, deliver on timelines, and ensure excellence across the entire ML lifecycle.

* 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.

* Drive technical reviews, provide guidance on complex system design, and rapidly resolve critical production issues involving ML models, pipelines, and infrastructure.

* Act as a mentor, coach, and multiplier-elevate technical expertise within and beyond your immediate team by sharing knowledge, leading by example, and championing continuous learning and growth.

* Represent Zendesk in technical forums and contribute to the broader ML engineering community.



* 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 (e.g., Spark, AWS Batch, Airflow), distributed databases, and designing reliable data models for heterogeneous datasets.

* Demonstrated technical leadership: ability to define system vision, steer architecture, make trade-off decisions, and coordinate complex projects across teams.

* 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).

* Track record integrating modern NLP/LLM stacks and libraries (HuggingFace, OpenAI, etc.) into large-scale, customer-facing products.

* A self-managed and dedicated approach with the ability to work independently.

* Exceptional problem-solving skills, technical judgment, and the ability to drive innovation in ambiguous, fast-evolving business contexts.

* Strong mentorship, communication, and cross-team collaboration skills; ability to uplevel peers and shape culture standards within Engineering.

* Commitment to staying ahead in advances in ML/AI, sharing knowledge, and driving state-of-the-art solutions organization-wide.

* 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.

*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 ML Engineer, you will be a technical leader who shapes the vision and execution of ML/AI products at scale. You'll drive architecture and design decisions, influence the broader engineering strategy, lead complex projects that span teams, and mentor the next generation of technical talent. Your work will impact millions of users and set standards for ML engineering across Zendesk.

* What you get to do every day *

* Architect, design, and deliver ML-powered systems and features (e.g., intent detection, sentiment/language analysis, intelligent agent routing, chatbots) at a global scale with reliability, efficiency, and maintainability as core principles.

* 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 large-scale, high-impact initiatives: define technical roadmaps, validate trade-offs, deliver on timelines, and ensure excellence across the entire ML lifecycle.

* 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.

* Drive technical reviews, provide guidance on complex system design, and rapidly resolve critical production issues involving ML models, pipelines, and infrastructure.

* Act as a mentor, coach, and multiplier-elevate technical expertise within and beyond your immediate team by sharing knowledge, leading by example, and championing continuous learning and growth.

* Represent Zendesk in technical forums and contribute to the broader ML engineering community.



* 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 (e.g., Spark, AWS Batch, Airflow), distributed databases, and designing reliable data models for heterogeneous datasets.

* Demonstrated technical leadership: ability to define system vision, steer architecture, make trade-off decisions, and coordinate complex projects across teams.

* 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).

* Track record integrating modern NLP/LLM stacks and libraries (HuggingFace, OpenAI, etc.) into large-scale, customer-facing products.

* A self-managed and dedicated approach with the ability to work independently.

* Exceptional problem-solving skills, technical judgment, and the ability to drive innovation in ambiguous, fast-evolving business contexts.

* Strong mentorship, communication, and cross-team collaboration skills; ability to uplevel peers and shape culture standards within Engineering.

* Commitment to staying ahead in advances in ML/AI, sharing knowledge, and driving state-of-the-art solutions organization-wide.

* 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.

*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 Staff 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’ll be doing **


* Work closely with ML Scientists to help bring ML-powered features into production and provide technical leadership across teams

* Lead discussions about technical design and architecture

* Build and guide the development of tools to support model experimentation and model management

* Collaborate with DevOps, feature teams, platform teams, and product to drive initiatives and overcome technical obstacles

* Lead initiatives around improving the scalability and robustness of our platforms

* Design, prototype, and refine scalable infrastructure, influencing best practices and mentoring teams



** What you bring to the role **

* Required *

* Fluent in at least one of Python or Ruby

* At least 5 years of background in building, scaling, and operating large scale applications, with a demonstrated ability to drive technical direction and mentor others

* Previous experience delivering ML products, or in ML operations (MLOps)

* Fluency with RESTful API, Kafka, Docker, Kubernetes, and cloud-like AWS or GCP

* Ability to navigate ambiguity and provide direction with changing priorities

* Deep respect and desire for team collaboration, while influencing and elevating team practices and technical standards

* Desire and ability to build solutions utilizing AI/ML at scale


* 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



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 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 Staff 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’ll be doing **


* Work closely with ML Scientists to help bring ML-powered features into production and provide technical leadership across teams

* Lead discussions about technical design and architecture

* Build and guide the development of tools to support model experimentation and model management

* Collaborate with DevOps, feature teams, platform teams, and product to drive initiatives and overcome technical obstacles

* Lead initiatives around improving the scalability and robustness of our platforms

* Design, prototype, and refine scalable infrastructure, influencing best practices and mentoring teams



** What you bring to the role **

* Required *

* Fluent in at least one of Python or Ruby

* At least 5 years of background in building, scaling, and operating large scale applications, with a demonstrated ability to drive technical direction and mentor others

* Previous experience delivering ML products, or in ML operations (MLOps)

* Fluency with RESTful API, Kafka, Docker, Kubernetes, and cloud-like AWS or GCP

* Ability to navigate ambiguity and provide direction with changing priorities

* Deep respect and desire for team collaboration, while influencing and elevating team practices and technical standards

* Desire and ability to build solutions utilizing AI/ML at scale


* 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



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 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.

*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.

*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.

*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.

*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.