Director of Applied Science — Conversational AI

Amazon

Palo Alto (CA)

Vor Ort

USD 298.000 - 350.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Health insurance
RSUs
401(k) matching
Paid time off
Parental leave

Zusammenfassung

Amazon in California is seeking a Director, Applied Science to lead the science vision for a next-generation conversational AI platform. You will own the end-to-end science roadmap for a multi-agent architecture powered by LLMs, RL, and post-training optimization to deliver a highly capable AI shopping assistant.

The ideal candidate will drive production AI at scale, mentoring senior leaders and collaborating with senior executives to align investments with long-term conversational commerce

Qualifikationen

  • MS in Computer Science, Machine Learning, Statistics, Operations Research, or related field.
  • 12+ years in applied machine learning and AI.
  • 10+ years of people management, including leaders of leaders.

Aufgaben

  • Define and execute the science strategy for Alexa for Shopping conversational AI platform.
  • Lead a large, multidisciplinary organization of Applied Scientists, Research Scientists, and ML Engineers.
  • Architect and scale multi-agent systems.
  • Partner with Product, Engineering, and senior leadership to align AI investments with goals.
  • Establish scientific best practices across experimentation, evaluation, model iteration, and production deployment.
  • Mentor and develop senior technical leaders; foster innovation and operational excellence.

Kenntnisse

Applied ML experience
People management
Production AI/ML at scale
LLMs / RL / multi-agent systems

Ausbildung

MS in CS / ML / Stats / OR
PhD in CS / ML (preferred)

Jobbeschreibung

Amazon in California is seeking a Director, Applied Science to lead the science vision for a next-generation conversational AI platform. You will own the end-to-end science roadmap for a multi-agent architecture powered by LLMs, RL, and post-training optimization to deliver a highly capable AI shopping assistant.

The ideal candidate will drive production AI at scale, mentoring senior leaders and collaborating with senior executives to align investments with long-term conversational commerce

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