Head of Applied Science for AI Agents & Human‑AI Teams

Amazon Science

Seattle (WA)

On-site

USD 219,000 - 296,000

Full time

5 days ago
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Job summary

Amazon Science is seeking a Senior Manager, Applied Science to build and lead the science organization across Agentic WorkSpaces. You will hire, grow, and lead a team of applied scientists who define how we measure and improve AI agents and human-AI teams, setting the science agenda and directing the research across the portfolio.

You will translate science into shipped product by partnering with engineering, product, and program leaders to move models, evaluation, and learning systems from

Qualifications

  • PhD or Master's in Computer Science, ML, or a related field, or equivalent applied research experience.
  • 10+ years of applied science experience, including 3+ years managing and growing teams of scientists.
  • Experience setting research direction and strategy across multiple teams and organizations.
  • Deep expertise in modern ML, including LLMs / foundation models and evaluation methodology.
  • Track record of delivering complex, ambiguous research initiatives from concept through production in enterprise environments.

Responsibilities

  • Build and lead the applied science team across the Agentic WorkSpaces portfolio.
  • Own the science strategy across the portfolio and define benchmarks, metrics, and evaluation.
  • Define and drive high-leverage research directions and shape the science agenda.
  • Translate science into shipped product by partnering with engineering and product teams.
  • Represent science in leadership and with enterprise customers on performance, safety, and productivity.
  • Set long-term scientific vision and team strategy with multi-year roadmap.

Skills

Applied science leadership
Research strategy
ML / LLMs
Enterprise production
Team management

Education

PhD or Master's in CS/ML or related field

Job description

Amazon Science is seeking a Senior Manager, Applied Science to build and lead the science organization across Agentic WorkSpaces. You will hire, grow, and lead a team of applied scientists who define how we measure and improve AI agents and human-AI teams, setting the science agenda and directing the research across the portfolio.

You will translate science into shipped product by partnering with engineering, product, and program leaders to move models, evaluation, and learning systems from

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