Applied Scientist, Amazon Books
Applied Scientist, Amazon Books
Posted on :
04-07-2025
Employer Active
1 Vacancy
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Job Description
Amazon is looking for creative Applied Scientists to tackle some of the most interesting problems in Articial Intelligence (AI) natural language processing (NLP) search and related areas with our Amazon Books team. At Amazon Books we believe that reading is essential for a healthy society. As such we aim to inspire readers by making it easy to read more and get more out of reading. We do this by creating an unmatched book discovery experience for our customers worldwide. We enable customers to discover new books authors and genres through smart search tools intelligent interactions and sophisticated recommendations and we need your help to keep innovating in this space.
If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast-paced environment working within a smart and passionate team this might be the role for you. You will develop and implement novel algorithms and modeling techniques to advance the state-of-the-art in technology areas at the intersection of AI LLMs NLP search and deep learning. You will innovate help move the needle for research in these exciting areas and build state-of-the-art technologies that enable delightful experiences for hundreds of millions of people.
Key job responsibilities
In this role you will:
- Work collaboratively with other scientists and developers to design and implement scalable and reliable pipelines for improving our customers experience discovering and getting the most out of their books;
- Drive scalable solutions: from understanding the customer and business needs to prototyping production testing and through engineering directly to production;
- Drive best practices on the team deal with ambiguity and competing objectives and mentor and guide other members to achieve their career growth potential.
- Stay up-to-date with the latest technologies and adopt the most appropriate long-term solution to a variety of use cases.
A day in the life
On a typical day you will:
- run experiments. Depending on the stage or project this may involve designing the experiments collecting data training models prompt/spec engineering/optimization error analysis online system analysis etc.
- help drive decisions by interpreting and communicating experimental results with stakeholders (managers subject matter experts other scientists and engineers) and seeking/listening to their feedback.
Additionally youll attend and contribute to regular meetings activities and conferences with the wider science team organization as well as internal and external communities.
About the team
Books Science where state-of-the-art AI meets the world of books. Were here to catalyze engineering teams fuel innovation and transform the customer experience for readers authors and publishers. We:
- We take ownership of early-stage project work including prototyping analysis and model development.
- Partner with different teams to help them learn about and adopt AI capabilities be aware of AI limitations and adopt scientific best practices for long-term reusability and quality assurance.
- Our team combines broad AI knowledge with individual expertise in specific domains and Amazon Books areas.
- PhD or a Masters degree and experience in CS CE ML or related field
- Experience programming in Java C Python or related language
- Experience in building models for business application
- Experience in investigating designing prototyping and delivering new and innovative system solutions
- Strong sense of ownership and drive
- Strong communication skills
- 1 years of industry experience working in a fast-paced environment
- PhD
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in professional software development
- Experience building AI solutions for business applications in multiple areas such as: search NLP data quality recommender systems.
- Experience with in one or more of: Generative AI LLM-as-judge prompt optimization agentic workflows LLM interpretability.
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 ( to know more about how we collect use and transfer the personal data of our candidates.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast-paced environment working within a smart and passionate team this might be the role for you. You will develop and implement novel algorithms and modeling techniques to advance the state-of-the-art in technology areas at the intersection of AI LLMs NLP search and deep learning. You will innovate help move the needle for research in these exciting areas and build state-of-the-art technologies that enable delightful experiences for hundreds of millions of people.
Key job responsibilities
In this role you will:
- Work collaboratively with other scientists and developers to design and implement scalable and reliable pipelines for improving our customers experience discovering and getting the most out of their books;
- Drive scalable solutions: from understanding the customer and business needs to prototyping production testing and through engineering directly to production;
- Drive best practices on the team deal with ambiguity and competing objectives and mentor and guide other members to achieve their career growth potential.
- Stay up-to-date with the latest technologies and adopt the most appropriate long-term solution to a variety of use cases.
A day in the life
On a typical day you will:
- run experiments. Depending on the stage or project this may involve designing the experiments collecting data training models prompt/spec engineering/optimization error analysis online system analysis etc.
- help drive decisions by interpreting and communicating experimental results with stakeholders (managers subject matter experts other scientists and engineers) and seeking/listening to their feedback.
Additionally youll attend and contribute to regular meetings activities and conferences with the wider science team organization as well as internal and external communities.
About the team
Books Science where state-of-the-art AI meets the world of books. Were here to catalyze engineering teams fuel innovation and transform the customer experience for readers authors and publishers. We:
- We take ownership of early-stage project work including prototyping analysis and model development.
- Partner with different teams to help them learn about and adopt AI capabilities be aware of AI limitations and adopt scientific best practices for long-term reusability and quality assurance.
- Our team combines broad AI knowledge with individual expertise in specific domains and Amazon Books areas.
- PhD or a Masters degree and experience in CS CE ML or related field
- Experience programming in Java C Python or related language
- Experience in building models for business application
- Experience in investigating designing prototyping and delivering new and innovative system solutions
- Strong sense of ownership and drive
- Strong communication skills
- 1 years of industry experience working in a fast-paced environment
- PhD
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in professional software development
- Experience building AI solutions for business applications in multiple areas such as: search NLP data quality recommender systems.
- Experience with in one or more of: Generative AI LLM-as-judge prompt optimization agentic workflows LLM interpretability.
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 ( to know more about how we collect use and transfer the personal data of our candidates.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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