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  • Engineering Manager, Internal Tools, AGI Autonomy

    Amazon (San Francisco, CA)



    Apply Now

    Description

    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).

    Key job responsibilities

    You will contribute directly to AI agent development in an engineering management role: leading a software development team focused on our internal platform for acquiring agentic experience at large scale. You will help set direction, align the team’s goals with the broader lab, mentor team members, recruit great people, and stay technically involved. You will be hired as a Member of Technical Staff.

    About the team

    Our lab is a small, talent-dense team with the resources and scale of Amazon. 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!

    Basic Qualifications

    3+ years of engineering team management experience

     

    7+ years of overall software engineering experience

     

    Proficiency in Python, TypeScript, Java, or related language

    Preferred Qualifications

    Track record of leading engineering teams, managing projects, and driving team performance

     

    Experience in mentoring and developing engineering talent, fostering a culture of innovation, collaboration, and continuous learning

     

    Ability to communicate results and insights to both technical and non-technical audiences

     

    Prior experience building production-grade internal tools for research teams, such as labeling or eval systems for self-driving or language models

     

    Capacity to work autonomously while leading a team to achieve its objectives

     

    Strong interpersonal skills to motivate and guide members of the team

     

    Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

     

    Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

     

    Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

     

    Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

     


    Apply Now



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