Member Of Technical Staff Intern (Artificial General Intelligence)

TL;DR

Member of Technical Staff Intern (AGI): Contributing to the development of useful AI agents by running experiments, building tools to accelerate scientific workflows, and scaling up AI systems with an accent on API design, database performance, and scalability. Focus on designing, maintaining, and enhancing tools for cutting-edge research and applying strong software engineering fundamentals to produce clean, reliable, and maintainable code.

Location: Onsite in San Francisco, California, USA. Compensation reflects US geographic markets, and legal ordinances for Los Angeles County and San Francisco are mentioned.

Salary: $77.64/hr

Company

Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents, combining the agility of a startup with the resources of Amazon.

What you will do

• Contribute directly to AI agent development in a research engineering role.
• Design, maintain, and enhance tools and workflows that support cutting-edge research.
• Adapt quickly to evolving research priorities and team needs.
• Collaborate closely with researchers to develop new techniques and tools around emerging agent capabilities.
• Drive project execution, including scoping, prioritization, timeline management, and stakeholder communication.
• Apply strong software engineering fundamentals to produce clean, reliable, and maintainable code.

Requirements

• Age: 18 years or older.
• Experience programming with at least one modern language such as Java, C++, or C#, including object-oriented design.
• Enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related STEM fields.
• Expected graduation date after October 2026.

Nice to have

• Hands-on experience in academic labs, industry internships, and/or open source development.
• Demonstrated ability to own an ambiguous project end-to-end (writing code, designing experiments, and interpreting results).
• Capacity to work autonomously and with a small team to drive research progress.

Culture & Benefits

• Work in a small, talent-dense team with the resources and scale of Amazon.
• Autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research.
• Inclusive culture empowering Amazonians to deliver the best results for customers.
• Full range of medical, financial, and/or other benefits, including equity and sign-on payments, as part of a total compensation package.

Hiring process

• Workplace accommodation or adjustment is available during the application and hiring process, including support for interviews or onboarding, for disabilities.