Amazon
Principal Applied Scientist, Foundation AI Assets (FAI)
$199K–$269K
Boston, MA · Principal · Full-time · Posted Oct 15, 2026
- Experience
- 5+ years of hands-on predictive modeling and analysis; preferred: 10+ years of relevant work in industry or academia.
- Education
- PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field.
About the job
Leads research and development of software-development capabilities and training and evaluation assets for Nova foundation models, translating GenAI research into scalable practice.
What you'll do
- Define research directions, develop or adopt machine-learning techniques, run rigorous experiments, publish results, and translate research into practice.
- Develop frontier-quality assets for training and evaluating GenAI models and contribute to full-cycle development and maintenance.
- Lead scientific reviews, mentor and develop scientists, and participate in organizational planning and hiring.
What they ask for
- 5+ years of hands-on predictive modeling and analysis experience.
- PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field.
- Experience translating informal customer requirements into problem definitions and handling ambiguity and competing objectives.
- Programming experience in Java, C++, Python, or a related language; experience leading experienced scientists and developing junior members.
Nice to have
- 10+ years of relevant work experience in industry or academia.
- Knowledge of problem solving, algorithm design, and complexity analysis; experience creating novel algorithms, advancing the state of the art, or peer-reviewed contributions in premier journals and conferences.
Pay
198,900.00 - 269,000.00 USD annually (base salary)
Tools
Nova, LLMs, GenAI, Java, C++, Python
AI focus
Develop software-development skills and frontier-quality training and evaluation assets for Nova foundation models; advance GenAI research and translate it into practice.
Model-written summary · the original posting is authoritative