Applied Scientist, ASIN Localization
Berlin, GermanyOn-siteFull-timeMid · 2-5 yearsH1B likely
About this role
Do you want to drive research that enables the highly scalable, massive throughput AI-based service at the core of Amazon's product localization? Work with LLM and MT technology to shape how we make Amazon available across the globe?
Join the Consumer Localization team and become part of a group of machine learning scientists and engineers dealing with some of the largest scale problems across Amazon. We create automatically billions of product pages on all Amazon marketplaces enabling many millions of customers worldwide to shop in their native language.
This is a unique opportunity at Amazon with great exposure: All of Amazon’s customers worldwide will be your customers. Come join us in our beautiful office in the beating heart of Europe - Berlin.
Key job responsibilities
As part of our team you will be pushing the boundary on applied ML in the localization space. You will
- define and own research projects to ensure we can deliver optimal translation quality for product data at a massive scale
- broaden our vision on how we can apply ML technology to further improve all stages of the product localization process
- help us leverage the potential of latest developments on LLMs and Gen AI to improve customer experience across many languages
- design, experiment and evaluate innovative models to solve end-to-end business problems with ML, and verify the business impact of your solutions
- research and implement novel machine learning approaches and define how we can apply them in our domain
- work with Machine Learning Scientists and Engineers to carry out strategic research and experimentation and implement best practices
A day in the life
Your day at work will be a mix of communication, experimentation, and implementation. You will be discussing with your team and stakeholders (e.g. country teams who use our translations, the service and hosting team, other Gen AI teams at Amazon). This will provide you inputs on requirements that you turn into research questions and experiments, but also insights into the technical options and constraints for productionalizing your research. Your experimental work will be driven by business problems, but you will Think Big to go beyond the needs of the day. So you will be spending as much time on designing experiments and connecting the to the state of the art, as on actual hands on experimentation work. In the implementation part, you will be working with Software and ML Engineers and enable them to turn your research results into production code.
About the team
The team consists of Applied Scientists, Software Engineers and Machine Learning Engineers. Together, this enables us to cover the full space of applied Machine Translation, from open-ended research to practical implementation questions. And it enables us to connect and cooperate with research, business and engineering teams.
- Experience in building models for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in professional software development
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
m/w/d
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Join the Consumer Localization team and become part of a group of machine learning scientists and engineers dealing with some of the largest scale problems across Amazon. We create automatically billions of product pages on all Amazon marketplaces enabling many millions of customers worldwide to shop in their native language.
This is a unique opportunity at Amazon with great exposure: All of Amazon’s customers worldwide will be your customers. Come join us in our beautiful office in the beating heart of Europe - Berlin.
Key job responsibilities
As part of our team you will be pushing the boundary on applied ML in the localization space. You will
- define and own research projects to ensure we can deliver optimal translation quality for product data at a massive scale
- broaden our vision on how we can apply ML technology to further improve all stages of the product localization process
- help us leverage the potential of latest developments on LLMs and Gen AI to improve customer experience across many languages
- design, experiment and evaluate innovative models to solve end-to-end business problems with ML, and verify the business impact of your solutions
- research and implement novel machine learning approaches and define how we can apply them in our domain
- work with Machine Learning Scientists and Engineers to carry out strategic research and experimentation and implement best practices
A day in the life
Your day at work will be a mix of communication, experimentation, and implementation. You will be discussing with your team and stakeholders (e.g. country teams who use our translations, the service and hosting team, other Gen AI teams at Amazon). This will provide you inputs on requirements that you turn into research questions and experiments, but also insights into the technical options and constraints for productionalizing your research. Your experimental work will be driven by business problems, but you will Think Big to go beyond the needs of the day. So you will be spending as much time on designing experiments and connecting the to the state of the art, as on actual hands on experimentation work. In the implementation part, you will be working with Software and ML Engineers and enable them to turn your research results into production code.
About the team
The team consists of Applied Scientists, Software Engineers and Machine Learning Engineers. Together, this enables us to cover the full space of applied Machine Translation, from open-ended research to practical implementation questions. And it enables us to connect and cooperate with research, business and engineering teams.
Basic Qualifications
- PhD, or a Master's degree and experience in CS, CE, ML or related field- Experience in building models for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Experience using Unix/Linux- Experience in professional software development
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
m/w/d
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.