Applied Scientist Machine Learning Accelerator
Applied Scientist Machine Learning Accelerator
Posted on :
19-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
19-04-2025
Job Description
Do you want to join an innovative team of scientists who use deep learning natural language processing large language models to help Amazon provide the best seller experience across the entire Seller life cycle including recruitment growth support and provide the best customer and seller experience by automatically mitigating risk
Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer interactions every day Are you excited by the prospect of analyzing and modeling terabytes of data and creating stateoftheart algorithms to solve real world problems Are you excited by the opportunity to leverage GenAI and innovate on top of the stateoftheart large language models to improve customer and seller experience
Do you like to build endtoend business solutions and directly impact the profitability of the company Do you like to innovate and simplify processes
If yes then you may be a great fit to join the Machine Learning Accelerator team in the Amazon Selling Partner Services (SPS) group.
Key job responsibilities
The scope of an Applied Scientist II in the SPS Machine Learning Accelerator (MLA) team is to research and prototype Machine Learning applications that solve strategic business problems across SPS domains. Additionally the scientist collaborates with project leaders engineers and business partners to design and implement solutions at scale. The scientist focuses on components of largescale projects systems and products and can work independently and with the team to deliver successful solutions with medium to large business impact. The scientist helps our team evolve by actively participating in discussions team planning and by staying current on the latest techniques arising from both the scientist community in SPS the larger Amazonwide community and beyond. The scientist develops and introduces tools and practices that streamline the work of the team and he mentors junior team members and participates in hiring.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
Experience using Unix/Linux
Experience in professional software development
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 $136000/year in our lowest geographic market up to $223400/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.
Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer interactions every day Are you excited by the prospect of analyzing and modeling terabytes of data and creating stateoftheart algorithms to solve real world problems Are you excited by the opportunity to leverage GenAI and innovate on top of the stateoftheart large language models to improve customer and seller experience
Do you like to build endtoend business solutions and directly impact the profitability of the company Do you like to innovate and simplify processes
If yes then you may be a great fit to join the Machine Learning Accelerator team in the Amazon Selling Partner Services (SPS) group.
Key job responsibilities
The scope of an Applied Scientist II in the SPS Machine Learning Accelerator (MLA) team is to research and prototype Machine Learning applications that solve strategic business problems across SPS domains. Additionally the scientist collaborates with project leaders engineers and business partners to design and implement solutions at scale. The scientist focuses on components of largescale projects systems and products and can work independently and with the team to deliver successful solutions with medium to large business impact. The scientist helps our team evolve by actively participating in discussions team planning and by staying current on the latest techniques arising from both the scientist community in SPS the larger Amazonwide community and beyond. The scientist develops and introduces tools and practices that streamline the work of the team and he mentors junior team members and participates in hiring.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
Experience using Unix/Linux
Experience in professional software development
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 $136000/year in our lowest geographic market up to $223400/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.
Employment Type
Full-Time
Key Skills
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