Amazon Science Internship Program
Amazon Science offers year-round research internships for students to work alongside world-class scientists and engineers on cutting-edge projects in AI, machine learning, robotics, quantum computing, and more. Interns tackle real-world problems on production-scale data, develop novel algorithms, and collaborate with cross-functional teams. Positions are full-time (40 hours/week), typically 12 weeks in summer, with access to state-of-the-art resources and mentorship. Examples include 2026 Applied Science Internships in Frontier AI & Robotics (San Francisco, CA) focusing on LLMs and generative AI for robotics perception, manipulation, and control.
Interns gain hands-on experience driving innovation that impacts Amazon customers globally. Roles span undergrad to PhD levels, with projects matched to student interests and expertise. Strong performance can lead to full-time opportunities. Locations vary across US sites like Seattle WA, San Francisco CA, Pasadena CA.
Applications via individual job postings on Amazon.
Eligibility Requirements
- Currently enrolled in Bachelor's, Master's, PhD, or equivalent (undergrad or above for some roles)
- Experience in programming (e.g., Python, Java, C++, PyTorch/JAX)
- Background in relevant field: ML, deep learning, robotics, etc. (preferred)
- Publication record at top conferences (e.g., NeurIPS, CVPR) preferred
- Ability to relocate to internship site and work full-time (40 hrs/week)
- Excellent problem-solving, collaboration skills
- U.S. work authorization/eligibility
For thorough eligibility and selection information, visit the official website or contact the organizers directly.