16.791 Empregos em Queluz

*Job Description*

We are seeking a detail-oriented and technically skilled Localization Engineer to join our team. The ideal candidate will be responsible for managing and optimizing the localization operations for our software products and other various types of contents. With your deep understanding of localization best practices, combined with proficiency in automation scripts and Agile development methodology, you are expected to enhance our software's global reach and user experience. An adeptness in Python, Perl, Bash scripting, JIRA, and more will enable you to orchestrate efficient, automated, and scalable localization processes.

*Key responsibilities:*


* Develop and maintain localization workflows and processes to ensure efficient and timely delivery of localized products.

* Collaborate closely with other Localization team members, Internationalization engineers, and diverse stakeholders to create solutions for technical localization issues including TM management, script development for data manipulation, and defining strategies for successful project executions.

* Utilize localization tools and software (e.g., TMS, MT engines) to manage translation projects and maintain translation memories and glossaries.

* Write and maintain an AI-driven source content analysis program for localization readiness.

* Troubleshoot and resolve issues in software localization processes, including localization tools and software (e.g., TMS, MT engines) and file processing.

* Devise and maintain AI-assisted quality evaluation frameworks to confirm usability of MT outputs and AI-generated translations.

* Design and maintain post-processing solutions to enhance raw MT output quality.

* Stay updated on industry trends and best practices in localization and internationalization.

* Create and maintain documentation related to localization processes, tools, and resources.



*Qualifications:*


* Bachelor’s degree in Computer Science, Linguistics, or a related field.

* Proven experience as a Localization Engineer or in a similar role within the software industry.

* Strong understanding of localization and internationalization principles and best practices.

* Demonstrated expertise in programming languages (e.g., Python, Perl, Bash scripting) and markup languages (e.g., HTML, XML).

* Proven experience with XLIFF and other localization file formats, as well as localization tools (e.g., Phrase, SDL Trados, MemoQ) and version control systems (e.g., Git).

* Excellent communication skills, with the ability to work collaboratively in an international team environment.

* Strong attention to detail and problem-solving skills.

* Fluency in German or Dutch is preferred.



*What we offer:*

* Full ownership of the projects you work on.

* What you will be doing will have a huge impact.

* Team of passionate people who love what they do.

* Exciting projects, ability to implement your own ideas and improvements.

* Opportunity to learn and grow.




* .and everything you need to be effective and maintain work-life balance: *

* Flexible working hours.

* Hybrid work environment.

* Professional development funds.

* Choice of your laptop and other equipment.

* Premium Medical Insurance as well as Private Life Assurance.



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*

**Who we’re looking for:**

The ‘Zendesk Analytics Prototyping’ (ZAP) team is seeking a Senior Data Engineer to support our mission of building a robust data foundation for CRM insights and improving customer support tools. As a Senior Data Engineer, you will work on designing and implementing scalable, high-quality data solutions, collaborating closely with engineering and analytics teams to enhance Zendesk’s operations. This role offers the opportunity to grow your skills in a dynamic environment and make a measurable impact on how Zendesk leverages data.

**What you’ll be doing:**

* Collaborate with team members to define requirements and translate them into scalable data models and pipelines.

* Develop and maintain ELT pipelines, ensuring data reliability and scalability for business reporting and analytics use cases.

* Build and optimize SQL-based data models using dbt and other ETL tools.

* Identify and implement improvements in data delivery, processing performance, and system efficiency.

* Contribute to the team’s technical vision and bring innovative solutions to enhance data systems.



**What you bring to the role**

**Basic Qualifications:**

* 5+ years of data engineering experience building, maintaining and working with data pipelines & ETL processes in big data environments.

* Extensive experience with SQL, ideally in the context of data modeling and analysis.

* Hands-on production experience with dbt, and proven knowledge in modern and classic Data Modeling - Kimball, Inmon, etc.

* Programming skills in Python or a similar language, with an emphasis on data transformation and automation.

* Experience with cloud columnar databases (Google BigQuery, Amazon Redshift, Snowflake), query authoring (SQL) as well as working familiarity with a variety of databases.

* Proven experience in performance testing, capacity planning, and cost optimization for large-scale, complex data pipelines and systems. This includes identifying bottlenecks, ensuring scalability, and minimizing operational costs in cloud-based data environments.

* Excellent communication and collaboration skills.



**Preferred Qualifications:**

* SnowPro Core certification or equivalent hands-on expertise.

* Familiarity with Lean/6 Sigma principles and an understanding of CRM analytics.



**Our Data Stack:**

ELT (Snowflake, dbt, Airflow, Kafka)

BI (Tableau, Looker)

Infrastructure (AWS, Kubernetes, Terraform, GitHub Actions)

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.

We are looking for an experienced Machine Learning Engineering Manager to lead the ML knowledge team. The team’s mission is both enabling knowledge creation through generative AI, as well as making the generated knowledge discoverable through information retrieval systems.

As an ML Engineering Manager you are overseeing a cross-functional team that is responsible for end-to-end delivery of machine learning-powered features. You will leverage your machine learning expertise to steer the team, while ensuring adherence to top-tier engineering practices. You ensure that ML models are deployed reliably at scale, suitable cost, and with measurable quality.

You'll work with different partners (Engineering, Product, Architects and Tech Leads) to ensure your team's roadmap is aligned with company strategy and the team is shipping architecturally sound software at a regular cadence.

*What you get to do every day*


* Lead a team of experienced Machine Learning Engineers and Scientists, offering direction and assistance at every stage of the lifecycle of an ML project.

* Collaborate with existing ML/AI leadership to continually improve software delivery and service reliability.

* Lead the recruitment of new team members and facilitate a speedy, engaged interview process.

* Have quality 1:1s with your team members.

* Create a diverse and inclusive working environment where people can thrive.



**What you bring to the role**


* Experience managing people across one or more teams, ideally working with large, distributed Internet-facing systems.

* Proven expertise in managing the delivery of machine learning projects to production.

* Expertise in NLP or Information Retrieval is a big plus.

* Great communication skills, both written and verbal.

* Refined prioritization skills, you are able to focus your time and energy where it’ll have the most impact.

* A dedication to continual self-development.

* Collaborative, upbeat work ethic where you can take ownership and have fun.



**What our tech stack looks like**


* Our code is written in Python, Ruby, Scala, and Java.

* Our servers live in AWS.

* Our machine learning models rely on PyTorch and Tensorflow.

* Our ML pipelines use AWS Batch and EMR.

* Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, and Aurora.

* Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing.



**What we offer**


* Full ownership of the projects you work on.

* What you will be doing will have a huge impact.

* Team of passionate people who love what they do.

* Interesting projects, ability to implement your own ideas and improvements.

* Opportunity to learn and grow.



**.and everything you need to be effective and maintain work-life balance**


* Flexible working hours.

* Professional development funds.

* Comfortable office and a remote setup.

* Choice of your laptop and other equipment.

* Premium Medical Insurance as well as Private Life Assurance.


#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*

We are seeking a detail-oriented and technically skilled Localization Engineer to join our team. The ideal candidate will be responsible for managing and optimizing the localization operations for our software products and other various types of contents. With your deep understanding of localization best practices, combined with proficiency in automation scripts and Agile development methodology, you are expected to enhance our software's global reach and user experience. An adeptness in Python, Perl, Bash scripting, JIRA, and more will enable you to orchestrate efficient, automated, and scalable localization processes.

*Key responsibilities:*


* Develop and maintain localization workflows and processes to ensure efficient and timely delivery of localized products.

* Collaborate closely with other Localization team members, Internationalization engineers, and diverse stakeholders to create solutions for technical localization issues including TM management, script development for data manipulation, and defining strategies for successful project executions.

* Utilize localization tools and software (e.g., TMS, MT engines) to manage translation projects and maintain translation memories and glossaries.

* Write and maintain an AI-driven source content analysis program for localization readiness.

* Troubleshoot and resolve issues in software localization processes, including localization tools and software (e.g., TMS, MT engines) and file processing.

* Devise and maintain AI-assisted quality evaluation frameworks to confirm usability of MT outputs and AI-generated translations.

* Design and maintain post-processing solutions to enhance raw MT output quality.

* Stay updated on industry trends and best practices in localization and internationalization.

* Create and maintain documentation related to localization processes, tools, and resources.



*Qualifications:*


* Bachelor’s degree in Computer Science, Linguistics, or a related field.

* Proven experience as a Localization Engineer or in a similar role within the software industry.

* Strong understanding of localization and internationalization principles and best practices.

* Demonstrated expertise in programming languages (e.g., Python, Perl, Bash scripting) and markup languages (e.g., HTML, XML).

* Proven experience with XLIFF and other localization file formats, as well as localization tools (e.g., Phrase, SDL Trados, MemoQ) and version control systems (e.g., Git).

* Excellent communication skills, with the ability to work collaboratively in an international team environment.

* Strong attention to detail and problem-solving skills.

* Fluency in German or Dutch is preferred.



*What we offer:*

* Full ownership of the projects you work on.

* What you will be doing will have a huge impact.

* Team of passionate people who love what they do.

* Exciting projects, ability to implement your own ideas and improvements.

* Opportunity to learn and grow.




* .and everything you need to be effective and maintain work-life balance: *

* Flexible working hours.

* Hybrid work environment.

* Professional development funds.

* Choice of your laptop and other equipment.

* Premium Medical Insurance as well as Private Life Assurance.



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*

**Who we’re looking for:**

The ‘Zendesk Analytics Prototyping’ (ZAP) team is seeking a Senior Data Engineer to support our mission of building a robust data foundation for CRM insights and improving customer support tools. As a Senior Data Engineer, you will work on designing and implementing scalable, high-quality data solutions, collaborating closely with engineering and analytics teams to enhance Zendesk’s operations. This role offers the opportunity to grow your skills in a dynamic environment and make a measurable impact on how Zendesk leverages data.

**What you’ll be doing:**

* Collaborate with team members to define requirements and translate them into scalable data models and pipelines.

* Develop and maintain ELT pipelines, ensuring data reliability and scalability for business reporting and analytics use cases.

* Build and optimize SQL-based data models using dbt and other ETL tools.

* Identify and implement improvements in data delivery, processing performance, and system efficiency.

* Contribute to the team’s technical vision and bring innovative solutions to enhance data systems.



**What you bring to the role**

**Basic Qualifications:**

* 5+ years of data engineering experience building, maintaining and working with data pipelines & ETL processes in big data environments.

* Extensive experience with SQL, ideally in the context of data modeling and analysis.

* Hands-on production experience with dbt, and proven knowledge in modern and classic Data Modeling - Kimball, Inmon, etc.

* Programming skills in Python or a similar language, with an emphasis on data transformation and automation.

* Experience with cloud columnar databases (Google BigQuery, Amazon Redshift, Snowflake), query authoring (SQL) as well as working familiarity with a variety of databases.

* Proven experience in performance testing, capacity planning, and cost optimization for large-scale, complex data pipelines and systems. This includes identifying bottlenecks, ensuring scalability, and minimizing operational costs in cloud-based data environments.

* Excellent communication and collaboration skills.



**Preferred Qualifications:**

* SnowPro Core certification or equivalent hands-on expertise.

* Familiarity with Lean/6 Sigma principles and an understanding of CRM analytics.



**Our Data Stack:**

ELT (Snowflake, dbt, Airflow, Kafka)

BI (Tableau, Looker)

Infrastructure (AWS, Kubernetes, Terraform, GitHub Actions)

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.

We are looking for an experienced Machine Learning Engineering Manager to lead the ML knowledge team. The team’s mission is both enabling knowledge creation through generative AI, as well as making the generated knowledge discoverable through information retrieval systems.

As an ML Engineering Manager you are overseeing a cross-functional team that is responsible for end-to-end delivery of machine learning-powered features. You will leverage your machine learning expertise to steer the team, while ensuring adherence to top-tier engineering practices. You ensure that ML models are deployed reliably at scale, suitable cost, and with measurable quality.

You'll work with different partners (Engineering, Product, Architects and Tech Leads) to ensure your team's roadmap is aligned with company strategy and the team is shipping architecturally sound software at a regular cadence.

*What you get to do every day*


* Lead a team of experienced Machine Learning Engineers and Scientists, offering direction and assistance at every stage of the lifecycle of an ML project.

* Collaborate with existing ML/AI leadership to continually improve software delivery and service reliability.

* Lead the recruitment of new team members and facilitate a speedy, engaged interview process.

* Have quality 1:1s with your team members.

* Create a diverse and inclusive working environment where people can thrive.



**What you bring to the role**


* Experience managing people across one or more teams, ideally working with large, distributed Internet-facing systems.

* Proven expertise in managing the delivery of machine learning projects to production.

* Expertise in NLP or Information Retrieval is a big plus.

* Great communication skills, both written and verbal.

* Refined prioritization skills, you are able to focus your time and energy where it’ll have the most impact.

* A dedication to continual self-development.

* Collaborative, upbeat work ethic where you can take ownership and have fun.



**What our tech stack looks like**


* Our code is written in Python, Ruby, Scala, and Java.

* Our servers live in AWS.

* Our machine learning models rely on PyTorch and Tensorflow.

* Our ML pipelines use AWS Batch and EMR.

* Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, and Aurora.

* Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing.



**What we offer**


* Full ownership of the projects you work on.

* What you will be doing will have a huge impact.

* Team of passionate people who love what they do.

* Interesting projects, ability to implement your own ideas and improvements.

* Opportunity to learn and grow.



**.and everything you need to be effective and maintain work-life balance**


* Flexible working hours.

* Professional development funds.

* Comfortable office and a remote setup.

* Choice of your laptop and other equipment.

* Premium Medical Insurance as well as Private Life Assurance.


#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*

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.