Drimva

Amazon

Machine Learning Scientist - GenAI, KIT

$143K–$193K

Bellevue, WA · Full-time · Posted Aug 13, 2026

Experience
3+ years building models for business applications; 4+ years in CS, CE, ML, or a related field if holding a Master's degree; a PhD is an alternative.
Education
PhD, or Master's degree and 4+ years of related field experience.

About the job

Develops and takes generative AI and machine learning solutions from research and experiments through prototypes to production, addressing customer needs across AWS services.

What you'll do

  • Design and build agentic AI systems, fine-tune large language models, and apply other ML techniques to business problems.
  • Develop experiments, prototypes, and production systems, including solutions for cloud optimization and strategic insights.
  • Drive innovation in AI experiences for AWS customers.

What they ask for

  • PhD, or a Master's degree and 4+ years of experience in CS, CE, ML, or a related field.
  • 3+ years of experience building models for business applications.
  • Experience with patents or publications at top-tier peer-reviewed conferences or journals.
  • Programming experience in Java, C++, Python, or a related language; experience in at least one listed area such as algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.

Nice to have

  • PhD in a listed technical or quantitative field, or equivalent quantitative field.
  • Experience in professional software development.

Pay

142,800.00 - 193,200.00 USD annually (base salary)

Tools

Java, C++, Python, Natural Language Processing, Deep Learning, Generative Artificial Intelligence, Reinforcement Learning

AI focus

Build agentic AI systems, fine-tune large language models for domain-specific use cases, apply reinforcement learning, automate cloud optimization, and generate strategic insights and recommendations from large datasets.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)