Senior Applied Scientist, Amazon Personalization
Senior Applied Scientist, Amazon Personalization
Posted on :
05-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
05-05-2025
Job Description
As a Senior Applied Scientist at Amazon you will be at the forefront of a pioneering initiative to revolutionize customer experiences using Large Language Models (LLMs) and recommender systems. Your expertise will drive the personalization of every interaction across Amazons vast ecosystem ensuring that each message and recommendation resonates personally with our customers.
Your mission will be to harness the latest in LLM and machine learning innovations to craft recommender systems that are not just smart but seem intuitively human. This is more than a technical roleits a chance to shape the future of ecommerce by making every user feel like Amazons most important customer.
If youre a visionary in the field of applied science passionate about leveraging LLMs to create impactful individualized user experiences we want you. Help us set a new standard for personalization at Amazon where every interaction is a step towards a more personalized future.
Key job responsibilities
3 years of building machine learning models for business application experience
PhD or Masters degree and 4 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
A day in the life
You are an Applied Scientist with an interest in machine learning data science search or recommendation systems. You have great problem solving skills. You love keeping abreast of the latest technology and use it to help you innovate. You have strong leadership qualities great judgment clear communication skills and a track record of delivering great products. You enjoy working hard having fun and making history!
About the team
Our team has the autonomy to decide where we can have the most impact and get down to experimenting. We love metrics and the fast pace. We analyze data to uncover potential opportunities generate hypotheses and test them. We refuse to accept constraints internal or external and have a strong bias for action. We imagine build prototypes validate ideas and launch followup experiments from the successful ones.
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 modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
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.
Your mission will be to harness the latest in LLM and machine learning innovations to craft recommender systems that are not just smart but seem intuitively human. This is more than a technical roleits a chance to shape the future of ecommerce by making every user feel like Amazons most important customer.
If youre a visionary in the field of applied science passionate about leveraging LLMs to create impactful individualized user experiences we want you. Help us set a new standard for personalization at Amazon where every interaction is a step towards a more personalized future.
Key job responsibilities
3 years of building machine learning models for business application experience
PhD or Masters degree and 4 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
A day in the life
You are an Applied Scientist with an interest in machine learning data science search or recommendation systems. You have great problem solving skills. You love keeping abreast of the latest technology and use it to help you innovate. You have strong leadership qualities great judgment clear communication skills and a track record of delivering great products. You enjoy working hard having fun and making history!
About the team
Our team has the autonomy to decide where we can have the most impact and get down to experimenting. We love metrics and the fast pace. We analyze data to uncover potential opportunities generate hypotheses and test them. We refuse to accept constraints internal or external and have a strong bias for action. We imagine build prototypes validate ideas and launch followup experiments from the successful ones.
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 modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
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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