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About the role

Amazon Science in San Francisco, CA seeks an Applied Science Intern to explore cutting-edge robotics, LLMs, and AI. Work with leaders and collaborate across teams on deep learning, reinforcement learning, computer vision, and motion planning for production-scale data. Applicants must be enrolled in a PhD, relocate to internship base, and commit to full-time 40 hours/week for 12 weeks between May and September 2026; strong publications preferred; proficiency in Python and PyTorch/JAX.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

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