Principal GenAI Scientist - Foundation AI Assets

Amazon Inc.; Boston (MA); Presencial; USD 199 000 - 269 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

RSUs and sign-on packages

401(k) matching

Resumo da oferta

Amazon.com Services LLC in Boston seeks a Principal Applied Scientist with deep learning and GenAI expertise to lead research directions and develop foundational model assets. You will mentor scientists, design rigorous experiments, and translate research into scalable engineering solutions.

You will influence product-relevant AI strategies, collaborate with teams across Amazon, and guide hiring and career development. A strong publication record and system-level thinking are highly valued.

Qualificações

• PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field.
• 5+ years of hands-on work in predictive modeling and analysis.
• Experience distilling informal customer requirements into problem definitions and ambiguity.
• Experience programming in Java, C++, Python or related language.

Responsabilidades

• Define key research directions and adopt or invent new machine learning techniques.
• Develop frontier quality assets for training and evaluating GenAI models.
• Publish results and translate research into practice; plan hires and mentorship.
• Lead full-cycle development from conception to maintenance; review experiments and models.

Conhecimentos

Predictive modeling

GenAI

Deep learning

Mentoring

Experiment design

Hands-on leadership

Java

C++

Python

Formação académica

PhD in Electrical Engineering, CS, Math, or related

Ferramentas

Java

C++

Python

Descrição da oferta de emprego

Amazon.com Services LLC in Boston seeks a Principal Applied Scientist with deep learning and GenAI expertise to lead research directions and develop foundational model assets. You will mentor scientists, design rigorous experiments, and translate research into scalable engineering solutions.

You will influence product-relevant AI strategies, collaborate with teams across Amazon, and guide hiring and career development. A strong publication record and system-level thinking are highly valued.