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Senior Applied Scientist, Generative AI Innovation Center

Amazon

Mountain View, CA
Full Time
Senior
150k-260k
11 days ago

Job Description

About the Role

The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This team of strategists, scientists, engineers, and architects works closely with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the center launched a new Custom Model and Optimization program to help develop and scale highly customized generative AI solutions. The team guides customers in imagining, scoping, and implementing use cases, optimizing models, and deploying solutions at scale, while providing guidance on responsible and cost-efficient application of generative AI. The role involves working directly with customers, designing experiments, researching algorithms, and innovating in a fast-paced environment to solve complex problems.

Key Responsibilities

  • Collaborate with AI/ML scientists and engineers to research, design, develop, and evaluate generative AI solutions to address real-world challenges
  • Interact with customers directly to understand their business problems, assist in the implementation of generative AI solutions, 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

Requirements

  • PhD, or Master's degree and 6+ years of applied research experience
  • 5+ years of hands-on experience with Python to build, train, and evaluate models
  • 5+ years of experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing
  • 2+ years of experience with design, development, and optimization of generative AI solutions, algorithms, or technologies
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals

Nice to Have

  • 2+ years of experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches
  • Hands-on experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation
  • Experience with optimization of models on GPUs, Amazon Silicon, or TPUs
  • 2+ years of experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools
  • Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
  • Strong communication skills, with attention to detail and ability to convey rigorous technical concepts to non-experts

Qualifications

  • Educational background including PhD or Master's degree with relevant experience

Benefits & Perks

  • Competitive salary ranging from $150,400/year to $260,000/year depending on geographic location and experience
  • Potential for equity, sign-on payments, and other compensation as part of a total package
  • Full range of medical, financial, and other benefits
  • Workplace accommodations and adjustments available during the application and onboarding process

Working at Amazon

Amazon's inclusive culture empowers employees to deliver the best results for customers. The company values diversity and provides accommodations for applicants with disabilities, fostering an environment of innovation and collaboration.

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Job Details

Posted AtJul 15, 2025
Job CategoryData Science
Salary150k-260k
Job TypeFull Time
ExperienceSenior

Job Skills

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About Amazon

Website

amazon.com

Location

Mountain View, CA

Industry

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