Member of Technical Staff, Applied Science - People Leader, AGI Autonomy

Company: Amazon
Location: San Francisco
Posted on: April 2, 2026

Job Description:

The Amazon AGI Autonomy Lab is focused on developing foundational capabilities for useful AI agents. Our mission is to enable practical AI to make our customers more productive, empowered, and fulfilled. Our work combines large language models (LLMs) with reinforcement learning (RL). The Applied Science - People Manager will build and lead a team focused on advancing Amazon Nova, our state-of-the-art foundation model. They will bridge research with real-world impact, ensuring our agents evolve from today’s capabilities to solve reasoning, planning, and world modeling in both virtual and physical environments. 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. About the team 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! - 2 years leading AI/ML research teams, managing 5 direct reports - Experience unifying cross-functional teams and aligning research roadmaps with strategic goals - Advanced proficiency in Python and ML frameworks (e.g., PyTorch, JAX, TensorFlow) with practical experience training large models at scale - Hands-on experience scaling foundational models (e.g., LLMs) and applying post-training techniques - Expertise in machine vision, autonomous systems, natural language processing, or related AI/ML field - Proven success leading applied research projects that deliver measurable improvements in agent intelligence or model capabilities - 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 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. Our compensation reflects the cost of labor across several U.S. geographic markets. The base salary for this position ranges from $245,000/year in our lowest geographic market up to $350,000/year in our highest geographic market. Amazon is a total compensation company. Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

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