Principal Applied Scientist, Seller Experience Innovation
Principal Applied Scientist, Seller Experience Innovation
Posted on :
31-07-2025
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1 Vacancy
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Job Description
Do you want to join an innovative team of scientists engineers and technologists who use AI and machine learning to help Amazon provide the best experience to our Selling Partners by automatically understanding and addressing their challenges needs and opportunities Do you want to build agentic systems that transform the business landscape powered by state-of-the-art AI such as Large Language Models Deep Learning Computer Vision and Causal Modeling to seamlessly engage with Sellers Are you excited by the prospect of analyzing and modeling terabytes of data and creating advanced algorithms to solve real world problems Do you like to build end-to-end business solutions central to Amazons tech strategy that directly impact the profitability of the company and experience of our customers Do you like to innovate and simplify If yes then you may be a great fit to join the Seller Experience Innovation team.
Key job responsibilities
- Use AI machine learning and statistical techniques to create the next generation of the agentic tools that empower Amazons Selling Partners to succeed.
- Design develop and deploy highly innovative AI models to interact with Sellers and delight them with solutions.
- Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.
- Establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation.
- Research and implement novel machine learning and statistical approaches.
- Lead strategic initiatives to employ the most recent advances in AI in a fast-paced experimental environment.
- Drive the vision and roadmap for how ML can continually improve Selling Partner experience.
- Represent the team as a science leader across Amazon and in public settings.
About the team
Seller Experience Innovation is a growing team of scientists engineers and technologists engaged in the research and development of the next generation of AI-driven technology to empower Amazons Selling Partners to succeed. We draw from many science domains from foundation models and LLMS to Deep Learning to Computer Vision to Reinforcement Learning to create solutions that seamlessly and automatically engage with Sellers solve their problems and help them grow. Focused on collaboration innovation and strategic impact we work closely with other science and technology teams product and operations organizations and with senior leadership to transform the Selling Partner experience.
- An MS in AI Machine Learning CS Statistics Operations Research or another highly quantitative field
- 10 years of hands-on experience in predictive modeling and large data analysis
- Depth in more than one and breadth across several domains in ML such as LLMs Deep Learning Natural Language Processing Computer Vision and/or Causal Modeling as well as a strong foundation in ML fundamentals
- Experience communicating with senior company leaders
- Ability to map business problems to appropriate science solutions
- A PhD in Machine Learning CS Statistics Operations Research or another highly quantitative field
- Advanced skills with Spark/Python/Scala (or similar)
- Ability to produce code to implement models at scale in a production environment
- Experience working with engineering teams to design and build large-scale ML systems
- Experience with AWS applications and services
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 $179000/year in our lowest geographic market up to $309400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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
- Use AI machine learning and statistical techniques to create the next generation of the agentic tools that empower Amazons Selling Partners to succeed.
- Design develop and deploy highly innovative AI models to interact with Sellers and delight them with solutions.
- Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.
- Establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation.
- Research and implement novel machine learning and statistical approaches.
- Lead strategic initiatives to employ the most recent advances in AI in a fast-paced experimental environment.
- Drive the vision and roadmap for how ML can continually improve Selling Partner experience.
- Represent the team as a science leader across Amazon and in public settings.
About the team
Seller Experience Innovation is a growing team of scientists engineers and technologists engaged in the research and development of the next generation of AI-driven technology to empower Amazons Selling Partners to succeed. We draw from many science domains from foundation models and LLMS to Deep Learning to Computer Vision to Reinforcement Learning to create solutions that seamlessly and automatically engage with Sellers solve their problems and help them grow. Focused on collaboration innovation and strategic impact we work closely with other science and technology teams product and operations organizations and with senior leadership to transform the Selling Partner experience.
- An MS in AI Machine Learning CS Statistics Operations Research or another highly quantitative field
- 10 years of hands-on experience in predictive modeling and large data analysis
- Depth in more than one and breadth across several domains in ML such as LLMs Deep Learning Natural Language Processing Computer Vision and/or Causal Modeling as well as a strong foundation in ML fundamentals
- Experience communicating with senior company leaders
- Ability to map business problems to appropriate science solutions
- A PhD in Machine Learning CS Statistics Operations Research or another highly quantitative field
- Advanced skills with Spark/Python/Scala (or similar)
- Ability to produce code to implement models at scale in a production environment
- Experience working with engineering teams to design and build large-scale ML systems
- Experience with AWS applications and services
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 $179000/year in our lowest geographic market up to $309400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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:
Staff IC
Employment Type
Full-Time
Key Skills
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