Sr. Applied Scientist, Books Core Recommendations
Sr. Applied Scientist, Books Core Recommendations
Posted on :
19-05-2025
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1 Vacancy
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Job Description
Passionate about books The Amazon Books personalization team is looking for a talented Applied Scientist III to help invent design and deliver innovative science solutions to make it easier for millions of customers to find the next book they will love. In this role you will:
Be a part of a dynamic team of scientists economists engineers analysts and business partners.
Use Amazons largescale computing and data resources to generate deep understandings of our customers and products.
Build models to generate recommendations and run them as large scale A/B tests directly on the retail website.
Design implement and deliver novel solutions to some of Amazons most complex problems.
Key job responsibilities
The role is focused on recommender systems bridging Generative AI Natural Language Processing (NLP) Reinforcement Learning (RL) graph networks and deep learning to help find the next great read for Books customers. You will build recommendation model pipelines identify technical opportunities within complex deep learningbased recommendation models and work with engineering and product leaders to power customerfacing recommendations.
As part of the team you will be exposed to all of these areas and have opportunities to hone and apply your skills across our problem space.
A day in the life
From daytoday you will research and develop models that power customer facing recommendations design and implement A/B test experiments as well as collaborate with engineers product and other scientists to get machine learning solutions into production.
About the team
We are Books Core Recommendations a collaborative group of 57 scientists 2 product leaders and 2 engineering teams that aims to help find the right next read for customers through high quality personalized book recommendation experiences. Books Core Recommendations is a part of the Books Content Demand organization which focuses on surfacing the best books for customers wherever they are in their current book journey.
4 years of applied research experience
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
Experience with large scale distributed systems such as Hadoop Spark etc.
Experience in applied research
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Be a part of a dynamic team of scientists economists engineers analysts and business partners.
Use Amazons largescale computing and data resources to generate deep understandings of our customers and products.
Build models to generate recommendations and run them as large scale A/B tests directly on the retail website.
Design implement and deliver novel solutions to some of Amazons most complex problems.
Key job responsibilities
The role is focused on recommender systems bridging Generative AI Natural Language Processing (NLP) Reinforcement Learning (RL) graph networks and deep learning to help find the next great read for Books customers. You will build recommendation model pipelines identify technical opportunities within complex deep learningbased recommendation models and work with engineering and product leaders to power customerfacing recommendations.
As part of the team you will be exposed to all of these areas and have opportunities to hone and apply your skills across our problem space.
A day in the life
From daytoday you will research and develop models that power customer facing recommendations design and implement A/B test experiments as well as collaborate with engineers product and other scientists to get machine learning solutions into production.
About the team
We are Books Core Recommendations a collaborative group of 57 scientists 2 product leaders and 2 engineering teams that aims to help find the right next read for customers through high quality personalized book recommendation experiences. Books Core Recommendations is a part of the Books Content Demand organization which focuses on surfacing the best books for customers wherever they are in their current book journey.
4 years of applied research experience
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
Experience with large scale distributed systems such as Hadoop Spark etc.
Experience in applied research
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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