Senior AI Scientist, Frontier Tooling & GenAI

Amazon Inc.; Arlington (VA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon is seeking a Senior Applied Scientist to own high-impact, end-to-end AI projects spanning GenAI agents, knowledge graphs, recommendation systems, and synthetic controls within the Frontier AI tooling team. You will collaborate with AWS Sales to understand customer challenges and deliver trusted AI-driven solutions at scale.

You will lead with advanced quantitative methods, mentor peers, and shape the technical direction of projects that influence how the field operates.

Qualifications

• PhD, or Master’s degree with 6+ years of ML model-building experience for business applications.
• Experience with SQL and Python scripting.
• Experience communicating complex technical information to executives and non-technical leaders.
• Experience managing and deploying ML products.

Responsibilities

• Own the full lifecycle of complex science problems: framing, data exploration, method selection, modeling, evaluation, and production deployment.
• Set technical direction on ambiguous problems and make design decisions that others build on.
• Partner with business stakeholders to turn open-ended questions into well-scoped science and translate results into actionable recommendations.
• Raise the scientific bar through design reviews, mentorship, and hands-on guidance.
• Communicate methods, trade-offs, and results clearly to technical and non-technical audiences.
• Use Python, PySpark, and SQL for data analysis and model development.

Skills

SQL

Python

Communication

ML deployment

Education

PhD or Master’s degree + 6+ years experience

Job description

Amazon is seeking a Senior Applied Scientist to own high-impact, end-to-end AI projects spanning GenAI agents, knowledge graphs, recommendation systems, and synthetic controls within the Frontier AI tooling team. You will collaborate with AWS Sales to understand customer challenges and deliver trusted AI-driven solutions at scale.

You will lead with advanced quantitative methods, mentor peers, and shape the technical direction of projects that influence how the field operates.