California Jobs

Member of Technical Staff , Amazon


PayCompetitive
LocationSan Francisco/California
Employment typeFull-Time

This job is now closed

  • Job Description

      Req#: 32244592903

      Job ID: 2936207 | Amazon.com Services LLC

      Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We're enabling practical AI to make our customers more productive, empowered, and fulfilled. In particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in both virtual and physical environments. Our research builds on that of Amazon's broader AGI organization, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs).

      Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We're entering an exciting new era where agents can redefine what AI makes possible. We'd love for you to join our lab and build it from the ground up!

      Key job responsibilities

      You will contribute directly to AI agent development in a research management role: leading a research team, aligning their goals with the broader lab, mentoring team members, and hiring great people. You will be hired as a Member of Technical Staff.

      BASIC QUALIFICATIONS

      • PhD degree in Computer Science or a related field
      • Proficiency in Python, Java, C++, or related language
      • Experience with deep learning methods and tools, e.g., PyTorch, JAX

      PREFERRED QUALIFICATIONS

      • Ability to develop and articulate a clear scientific strategy that aligns with organizational goals
      • Experience in mentoring and developing scientific talent, fostering a culture of innovation and continuous learning
      • Ability to communicate results and insights to both technical and non-technical audiences, including through presentations and written reports
      • Capacity to work autonomously while effectively leading a team to achieve research objectives
      • Strong interpersonal skills to motivate and guide team members

      Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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