Applied AI & Robotics Research Intern

Amazon; San Francisco (CA); On-site; USD 172,000 - 222,000; Full time

Job summary

Amazon is seeking an Applied Science Intern to join a world-class team advancing robotics and AI research. The role involves hands-on work across deep learning, reinforcement learning, computer vision, and motion planning with state-of-the-art infrastructure and mentorship from industry leaders.

This 12-week, full-time internship runs May–September 2026 in San Francisco or Seattle. You will collaborate with renowned researchers, publish results where appropriate, and contribute to projects at

Qualifications

• Strong background in machine learning, deep learning, and/or robotics.
• Publication track record at major conferences such as NeurIPS, CVPR, ICRA, RSS, CoRL, ICLR.
• Proficiency in Python; experience with PyTorch or JAX.
• Excellent problem-solving skills and ability to work collaboratively in a team.

Responsibilities

• Develop novel, scalable algorithms and modeling techniques at the intersection of LLMs, AI, and robotics.
• Work on production-scale data focusing on perception, manipulation, and control for robots.
• Collaborate with cross-functional teams to solve complex problems in AI and robotics.
• Demonstrate independence and effective communication with diverse stakeholders.

Skills

ML & robotics

Publications

Python

PyTorch/JAX

Team collaboration

Education

PhD student

Job description

Amazon is seeking an Applied Science Intern to join a world-class team advancing robotics and AI research. The role involves hands-on work across deep learning, reinforcement learning, computer vision, and motion planning with state-of-the-art infrastructure and mentorship from industry leaders.

This 12-week, full-time internship runs May–September 2026 in San Francisco or Seattle. You will collaborate with renowned researchers, publish results where appropriate, and contribute to projects at