55.622 Empregos em Portugal

*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*

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*

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-MK12

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*

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-MK12

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*

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’s people have one goal in mind: to make Customer Experience better. Our products help more than 125,000 global brands (AirBnb, Uber, JetBrains, Slack, among others) make their billions of customers happy, every day.

Our team is responsible for helping Customer Experience teams to achieve their best, by intelligently solving repetitive work, so they can shift their focus to solving more sophisticated problems. We use the latest trends in Machine Learning and AI algorithms to help us on that mission, and we're passionate about empowering our customers.

As a Staff Machine Learning Scientist you are a recognized leader and domain expert, responsible for advancing the state-of-the-art in ML/AI for customer service at a global scale. You steer research vision, mentor scientists across teams, and drive adoption of foundational models powering Zendesk’s most impactful features.

* What you get to do every day *

* Lead end-to-end design, development, and deployment of novel ML/LLM models and algorithms-defining research agendas that shape Zendesk’s AI-powered roadmap.

* Pioneer large, complex initiatives across product lines, such as building multilingual, real-time language/intent/sentiment analysis frameworks, conversational AI agents, and next-generation agent-assist solutions.

* Define and drive experimentation standards, statistically robust offline/online evaluations, and model governance for compliance, fairness, and explainability.

* Bridge cutting-edge research and production, collaborating with Engineering to build systems that scale globally and meet real-world performance constraints.

* Mentor, guide, and develop Senior Scientists and Engineers, fostering a culture of scientific rigor, creativity, and technical excellence across the organization.

* Represent Zendesk externally-publishing papers, speaking at conferences, and engaging with the wider ML/AI community.

* Advise leadership on ML/AI technology strategy and assess emerging industry trends for integration into Zendesk solutions.

* Mentor junior scientists and help grow the ML research culture.



* Key challenges / use cases *

* How do we enrich customer service conversations with accurate language detection, intent recognition, and real-time sentiment analysis, to enable proactive customer engagement and optimal routing?

* How can we automate all customer service interactions as much as possible, from process automation to agent assistance and chatbots with a knowledge base?

* How do we optimize routing at scale-matching tickets or chats to the most appropriate agent/team in real-time across multiple languages and regions?

* How do we automate large-scale A/B testing and model evaluation (online and offline) to continually iterate and improve ML-driven triage and agent-assist tools?

* What novel approaches or architectures (e.g., retrieval-augmented generation, few-shot/fine-tuning strategies) can extend our conversational AI platforms to unlock new customer support use cases and modalities?

* How do we efficiently operationalize, monitor, and update large-scale (LLM/ML) models in dynamic, high-throughput production settings, ensuring model health, drift detection, and continuous learning?

* How do we combine signals from conversation context, customer history, and external data to improve prediction and decision accuracy across our ML services?

* What are the emerging advancements in ML/AI research (e.g., large language models, efficient adaptation, re-ranking, retrieval, or explainable AI) that should be incorporated into Zendesk’s customer experience ecosystem?

* How can we bridge the gap between cutting-edge research and impactful product features, rapidly validating ideas in production and quantifying their real-world business value?

* And many more!



* What you bring to the role *

* MSc degree (PhD preferred) in computer science, electrical engineering, math, or related areas.

* Substantial track record of impactful research and deployment of ML/AI solutions at scale-preferably in NLP, LLMs or information retrieval.

* Proven technical and research leadership across projects/teams; ability to define research vision and influence organizational direction.

* Deep expertise in experimental design, statistical analysis, and ML science best practices.

* Strong coding skills in Python; experience with ML frameworks (preferably PyTorch).

* Experience with large-scale experimentation (e.g., A/B testing), data analysis, and performance tracking.

* Outstanding mentorship and communication skills-able to both advance scientific discourse and influence engineering/product execution.

* Be pragmatic and results oriented.

* Recognized contributions to the scientific community (publications, open source, talks) a strong plus.



* What our tech stack looks like *

* Our code is written in Python and Ruby.

* Our servers live in AWS.

* Our machine learning models rely on PyTorch.

* Our ML pipelines use AWS Batch and MetaFlow.

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

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



#LI-AO1

Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.

*The intelligent heart of customer experience*

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.