Applied Robotics & AI Research Internship

Amazon; Seattle (WA); On-site; USD 142,800 - 193,200; Full time

Job summary

Amazon is seeking an Applied Science Intern to work with leaders in robotics and AI, focusing on deep learning, reinforcement learning, CV, and motion planning. You will explore novel algorithms for robotics at scale and collaborate with cross-functional teams on exciting research projects.

You’ll gain hands-on experience with state-of-the-art infrastructure and mentorship from industry experts during a 12-week, full-time internship between May 2026 and September 2026 in San Francisco, CA or

Qualifications

• Enrollment in a PhD program and ability to relocate to internship sites.
• Strong background in ML, DL, or robotics and a publication record is preferred.
• Proficiency in Python; experience with PyTorch or JAX is desired.
• Excellent problem solving and teamwork abilities.

Responsibilities

• Develop scalable algorithms and modeling techniques at the intersection of LLMs and robotics.
• Tackle research problems on production-scale data for perception, manipulation, and control.
• Collaborate with cross-functional teams across deep learning, RL, CV, and motion planning.
• Communicate effectively with diverse stakeholders and work independently when needed.

Skills

Machine learning

Deep learning

Robotics

Python

PyTorch

JAX

Problem solving

Team collaboration

Education

PhD program

Tools

PyTorch

JAX

Java

C++

Python

Job description

Amazon is seeking an Applied Science Intern to work with leaders in robotics and AI, focusing on deep learning, reinforcement learning, CV, and motion planning. You will explore novel algorithms for robotics at scale and collaborate with cross-functional teams on exciting research projects.

You’ll gain hands-on experience with state-of-the-art infrastructure and mentorship from industry experts during a 12-week, full-time internship between May 2026 and September 2026 in San Francisco, CA or