Senior Applied Scientist GTMC
Senior Applied Scientist GTMC
Posted on :
28-04-2025
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1 Vacancy
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Job Description
Amazons global talent management and compensation (GTMC) organization is looking for a Senior Applied Scientist to join our interdisciplinary science team. The role will lead our strategic science investments to develop and refine Generative AI solutions in our experiences that help more than 1.5 million employees build rewarding careers and shape how we manage Amazons talent.
GTMC is responsible for managing all aspects of Amazon employees careers from onboarding to exit. We build intelligent products that are used by employees their managers and senior leadership to grow develop and reward Amazons talent. The domains we cover include career development talent evaluation employeerole matching promotions organizational design and succession planning and new areas that address the evolving needs of our diverse employee base.
We are looking for an experienced applied scientist who has experience building applying and customizing GenAI solutions to solve customer problems. As a senior applied scientist on the team you will play a critical role in driving the development of GenAI technologies that handle Amazonscale use cases and have a significant impact on our employees lives. You will have the opportunity to lead exciting problems publish and patent your work in one of the most high impact innovative and unconventional applications of science in the People Experience and Technology space.
If this kind of work excites you reach out to us to find out more!
Key job responsibilities
Provide scientific thought leadership in GenAI solution development for our science and engineering teams
Prototype and iterate on GenAI solutions for capabilities across writing feedback summarization information retrieval content generation and orchestration.
Participate in scoping feature and business planning roadmap of GTMCs science investments
Design and execute sciencebased product ideas and features project plans and communicate with stakeholders
Partner with engineers to productionize GenAI and other science models at the scale of Amazon
Mentor and guide junior scientists and engineers and contribute to the overall growth and development of the team
About the team
GTMCs science team is an experienced central interdisciplinary organization of scientists spanning machine learning economics and research that builds science models for Amazons worldwide employeefacing talent management products designs and supports experiments for product features and measures impact of product and program initiatives across the broader organization. Examples of our work include GenAIpowered summarization and writing assistants content and people recommendation systems scalable experimentation products and measuring organizational north star metrics.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience with neural deep learning methods and machine learning
Experience programming in Java C Python or related language
Experience with developing Generative AI solutions for business applications
PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
5 years of applied research experience
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
Strong publication record in toptier journals and conferences in Generative AI and/or demonstrated experience with customizing Large Language Models for business applications
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.
GTMC is responsible for managing all aspects of Amazon employees careers from onboarding to exit. We build intelligent products that are used by employees their managers and senior leadership to grow develop and reward Amazons talent. The domains we cover include career development talent evaluation employeerole matching promotions organizational design and succession planning and new areas that address the evolving needs of our diverse employee base.
We are looking for an experienced applied scientist who has experience building applying and customizing GenAI solutions to solve customer problems. As a senior applied scientist on the team you will play a critical role in driving the development of GenAI technologies that handle Amazonscale use cases and have a significant impact on our employees lives. You will have the opportunity to lead exciting problems publish and patent your work in one of the most high impact innovative and unconventional applications of science in the People Experience and Technology space.
If this kind of work excites you reach out to us to find out more!
Key job responsibilities
Provide scientific thought leadership in GenAI solution development for our science and engineering teams
Prototype and iterate on GenAI solutions for capabilities across writing feedback summarization information retrieval content generation and orchestration.
Participate in scoping feature and business planning roadmap of GTMCs science investments
Design and execute sciencebased product ideas and features project plans and communicate with stakeholders
Partner with engineers to productionize GenAI and other science models at the scale of Amazon
Mentor and guide junior scientists and engineers and contribute to the overall growth and development of the team
About the team
GTMCs science team is an experienced central interdisciplinary organization of scientists spanning machine learning economics and research that builds science models for Amazons worldwide employeefacing talent management products designs and supports experiments for product features and measures impact of product and program initiatives across the broader organization. Examples of our work include GenAIpowered summarization and writing assistants content and people recommendation systems scalable experimentation products and measuring organizational north star metrics.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience with neural deep learning methods and machine learning
Experience programming in Java C Python or related language
Experience with developing Generative AI solutions for business applications
PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
5 years of applied research experience
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
Strong publication record in toptier journals and conferences in Generative AI and/or demonstrated experience with customizing Large Language Models for business applications
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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