Senior Applied Scientist, Model Customization, Generative AI Innovation Center, Model Customization
Senior Applied Scientist, Model Customization, Generative AI Innovation Center, Model Customization
Posted on :
11-09-2025
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1 Vacancy
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Job Description
Are you looking to work at the forefront of Machine Learning and AI Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists scientists engineers and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
Starting in 2024 the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses define paths to navigate technical or business challenges develop and optimize models to power their solutions and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments research new algorithms and find new ways of optimizing risk profitability and customer experience.
Were looking for Applied Scientists capable of using GenAI and other techniques to design evangelize and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
As an Applied Scientist you will
Collaborate with AI/ML scientists and architects to research design develop and evaluate generative AI solutions to address real-world challenges
Interact with customers directly to understand their business problems aid them in implementation of generative AI solutions brief customers and guide them on adoption patterns and paths to production
Help customers optimize their solutions through approaches such as model selection training or tuning right-sizing distillation and hardware optimization
Provide customer and market feedback to product and engineering teams to help define product direction
- PhD degree in computer science engineering mathematics operations research or in a highly quantitative field plus 5 years of relevant experience or Masters degree plus 10 years of relevant work experience
- 5 years of hands on experience with Python to build train and evaluate models
- 5 years of experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- 2 years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training continual pre-training fine-tuning or reinforcement learning techniques.
- Scientific publication track record at top-tier AI/ML/NLP conferences or journals
- Demonstrated experience with building LLM-powered agentic workflow orchestration and agent customization
- Experience with model optimization techniques (quantization distillation compression inference optimization etc.)
- Experience with open-source frameworks for model customization like trl verl and for building LLM-powered applications like LangChain LlamaIndex and/ or similar tools
- Strong communication skills with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts
- Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas.
- Track record of leading the design implementation and delivery of scientifically-complex solutions that span multiple teams.
- Experience driving scientific agenda and technical strategy in a team including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities.
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 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.
Starting in 2024 the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses define paths to navigate technical or business challenges develop and optimize models to power their solutions and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments research new algorithms and find new ways of optimizing risk profitability and customer experience.
Were looking for Applied Scientists capable of using GenAI and other techniques to design evangelize and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
As an Applied Scientist you will
Collaborate with AI/ML scientists and architects to research design develop and evaluate generative AI solutions to address real-world challenges
Interact with customers directly to understand their business problems aid them in implementation of generative AI solutions brief customers and guide them on adoption patterns and paths to production
Help customers optimize their solutions through approaches such as model selection training or tuning right-sizing distillation and hardware optimization
Provide customer and market feedback to product and engineering teams to help define product direction
- PhD degree in computer science engineering mathematics operations research or in a highly quantitative field plus 5 years of relevant experience or Masters degree plus 10 years of relevant work experience
- 5 years of hands on experience with Python to build train and evaluate models
- 5 years of experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- 2 years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training continual pre-training fine-tuning or reinforcement learning techniques.
- Scientific publication track record at top-tier AI/ML/NLP conferences or journals
- Demonstrated experience with building LLM-powered agentic workflow orchestration and agent customization
- Experience with model optimization techniques (quantization distillation compression inference optimization etc.)
- Experience with open-source frameworks for model customization like trl verl and for building LLM-powered applications like LangChain LlamaIndex and/ or similar tools
- Strong communication skills with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts
- Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas.
- Track record of leading the design implementation and delivery of scientifically-complex solutions that span multiple teams.
- Experience driving scientific agenda and technical strategy in a team including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities.
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 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:
Senior IC
Employment Type
Full-Time
Key Skills
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