Sr Applied Scientist - Recommender Systems
Sr Applied Scientist - Recommender Systems
Posted on :
09-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
09-04-2025
Job Description
Are you excited by the idea of developing personalized experiences for Amazon customers as they shop Are you looking for new challenges and to solve hard science problems while applying stateoftheart recommendation system modeling techniques Join us and youll help millions of customers make informed purchase decisions while also advancing the state of Amazons science by publishing research!
Key job responsibilities
Participate in the design development evaluation deployment and updating of datadriven models for shopping personalization.
Use expertise in supervised and uplift learning algorithms to improve ML performance
Research and implement novel ML and statistical approaches to add value to the business.
Design A/B tests and conduct statistical analysis on their results
Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers
Work closely with internal stakeholders like the business teams engineering teams and partner teams and align them with respect to your focus area
Present and publish science research contributing to Amazons science community
Mentor junior engineers and scientists.
About the team
Our teams mission is to surface the right paymentsrelated recommendations to customers at the right time helping create a rewarding and successful shopping experience for Amazons customers. Our teams culture is highly collaborative with an emphasis on supporting each other and learning from one another. We dedicate time each week to focus on personal development and expanding our knowledge as a team. We also highly value having a big impact both for Amazons business and for our customers.
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 neural deep learning methods and machine learning
Experience with reinforcement learning
Publication record on machine learning methods
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
Experience with causal inference modeling.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
Key job responsibilities
Participate in the design development evaluation deployment and updating of datadriven models for shopping personalization.
Use expertise in supervised and uplift learning algorithms to improve ML performance
Research and implement novel ML and statistical approaches to add value to the business.
Design A/B tests and conduct statistical analysis on their results
Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers
Work closely with internal stakeholders like the business teams engineering teams and partner teams and align them with respect to your focus area
Present and publish science research contributing to Amazons science community
Mentor junior engineers and scientists.
About the team
Our teams mission is to surface the right paymentsrelated recommendations to customers at the right time helping create a rewarding and successful shopping experience for Amazons customers. Our teams culture is highly collaborative with an emphasis on supporting each other and learning from one another. We dedicate time each week to focus on personal development and expanding our knowledge as a team. We also highly value having a big impact both for Amazons business and for our customers.
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 neural deep learning methods and machine learning
Experience with reinforcement learning
Publication record on machine learning methods
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
Experience with causal inference modeling.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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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