Senior AI Scientist — Frontier AI Tooling & GenAI

Amazon Web Services (AWS); New York (NY); Sur place; USD 184 000 - 249 000; Plein temps

Avantages offerts par ce poste

Health insurance

401(k) matching

Paid time off

Parental leave

Résumé du poste

Amazon Web Services, Inc. is seeking a Senior Applied Scientist to drive high-impact, end-to-end ML solutions across AWS Sales and Frontier AI initiatives.

You will lead ambiguous problems, set technical direction, and partner with customers to deliver trusted AI tooling and production models at scale. You will mentor peers, synthesize insights for executives, and help raise the bar for the science across the team, using Python, PySpark, and SQL.

Qualifications

• PhD or Master's with 6+ years building ML models for business applications.
• Experience with SQL and Python scripting.
• Experience presenting complex technical information to executives and non-technical leaders.
• Experience deploying ML products.

Responsabilités

• Own the full lifecycle of complex science problems: framing, data exploration, method selection, modeling, evaluation, and deployment.
• Set technical direction on ambiguous problems and make design decisions.
• Partner with business stakeholders across Sales & Delivery to translate questions into scoped science and 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.

Connaissances

Advanced quantitative methods

Machine learning

Technical leadership

Communication

Formation

PhD or Master's with 6+ years ML experience

Outils

SQL

Python

PySpark

Description du poste

Amazon Web Services, Inc. is seeking a Senior Applied Scientist to drive high-impact, end-to-end ML solutions across AWS Sales and Frontier AI initiatives.

You will lead ambiguous problems, set technical direction, and partner with customers to deliver trusted AI tooling and production models at scale. You will mentor peers, synthesize insights for executives, and help raise the bar for the science across the team, using Python, PySpark, and SQL.