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

Benefits

Parental leave

6 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

6 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

$245K-$350K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$81,650 U.S. median for this role

Projected growth (BLS Employment Projections)

+6.9% - Faster than average

264% above the BLS role benchmark for human resources aggregate.

Posted salary is far from this role benchmark; treat it as low confidence.

Matched to SOC 13-1071 - Human Resources aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Hr From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Member of Technical Staff, Applied Science - People Leader, AGI Autonomy San Francisco, California, USA 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! Basic Qualifications: - 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

Read the full description at www.amazon.jobs. FewerJobs shows a preview and links to the original posting.