Applied Scientist II GTMC SIERRA
Applied Scientist II GTMC SIERRA
Posted on :
15-03-2025
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1 Vacancy
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Job Description
Amazons global talent is incredibly complex with unique problems to be solved for each line of business. Global Talent Management (GTM) is centrally responsible for managing and evolving Amazons human capital through intelligent talent products and processes. GTM Science is a growing interdisciplinary science team within GTM that develops science products and services to facilitate Amazons growth and development of talent across all of our businesses and locations around the world.
Our vision in GTM Science is to use machine learning and Generative AI to scalably solve organizational challenges focused on talent movement talent differentiation employeerole matching promotion processes organizational design and succession planning diversity and inclusion and new areas that address the evolving needs of our diverse employee base.
We are looking for an experienced ML/AI scientist to work on talent science products that draw from a range of fields such as algorithmic fairness natural language processing supervised and unsupervised learning recommendation systems machine learning on graphs reinforcement learning and others on rich and novel datasets. The role has high visibility to senior Amazon business leaders and involves working with other scientists and partnering with engineering and product teams to integrate these models into production systems.
As an applied scientist in GTM Science you will have the opportunity to work on exciting problems in one of the most innovative applications of science in the People Experience and Technology space. You will help to solve high impact business problems in an unconventional domain and be encouraged to patent and publish your contributions. If this kind of work excites you reach out to us to find out more!
Key Responsibilities
Design and implement models sciencebased product ideas and features project plans and communicate with stakeholders.
Develop fair predictive models to understand important business and peoplecentered outcomes
Productionize ML and science models at the scale of Amazon
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 in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience in investigating designing prototyping and delivering new and innovative system solutions
Experience in professional software development
Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Knowledge of architectural concepts and algorithms schedule tradeoffs and new opportunities with technical team members
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.
Our vision in GTM Science is to use machine learning and Generative AI to scalably solve organizational challenges focused on talent movement talent differentiation employeerole matching promotion processes organizational design and succession planning diversity and inclusion and new areas that address the evolving needs of our diverse employee base.
We are looking for an experienced ML/AI scientist to work on talent science products that draw from a range of fields such as algorithmic fairness natural language processing supervised and unsupervised learning recommendation systems machine learning on graphs reinforcement learning and others on rich and novel datasets. The role has high visibility to senior Amazon business leaders and involves working with other scientists and partnering with engineering and product teams to integrate these models into production systems.
As an applied scientist in GTM Science you will have the opportunity to work on exciting problems in one of the most innovative applications of science in the People Experience and Technology space. You will help to solve high impact business problems in an unconventional domain and be encouraged to patent and publish your contributions. If this kind of work excites you reach out to us to find out more!
Key Responsibilities
Design and implement models sciencebased product ideas and features project plans and communicate with stakeholders.
Develop fair predictive models to understand important business and peoplecentered outcomes
Productionize ML and science models at the scale of Amazon
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 in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience in investigating designing prototyping and delivering new and innovative system solutions
Experience in professional software development
Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Knowledge of architectural concepts and algorithms schedule tradeoffs and new opportunities with technical team members
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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