Amazon · 7 hours ago
Member of Technical Staff - Applied Science, AGI Autonomy
San Francisco, CA
Full-time
Onsite
Mid Level
$120K/yr - $350K/yr
3+ years expAmazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. The role involves contributing to AI agent development through model training and optimization.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
You will contribute directly to AI agent development in an applied research role, including model training, dataset design, and pre- and post-training optimization
You will be hired as a Member of Technical Staff
Qualification
Required
3+ years' experience building machine learning models
Proficiency in Python, Java, C++, or related language
Experience with deep learning methods and tools, e.g., PyTorch, JAX
Preferred
PhD or Master's degree in computer science or related field
Strong background in scientific research with a proven ability to generate and implement new ideas in machine learning
Willingness to step outside typical role boundaries to get things done — every member of technical staff is expected to write code, design experiments, and interpret results
Ability to communicate results and insights to both technical and non-technical audiences, including through presentations and written reports
Ability to think big about the arc of development of AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
Capacity to mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-13
2026-01-13
Business Standard India
2026-01-13
Company data provided by crunchbase