Must be eligible and available for a full-time (40h/ week) 12 week internship between May 2026 and September 2026.
Amazon has positions available in San Francisco, CA and Seattle, WA.
The ideal candidate should possess:
- Strong background in machine learning, deep learning, and/or robotics
- Publication record at science conferences such as NeurIPS, CVPR, ICRA, RSS, CoRL, and ICLR.
- Experience in areas such as multimodal LLMs, world models, image/video tokenization, real2Sim/Sim2real transfer, bimanual manipulation, open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, and end-to-end vision-language-action models.
- Proficiency in Python, Experience with PyTorch or JAX
- Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a team
Apply now and embark on an extraordinary journey of discovery and innovation!
Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control
- Collaborate with cross-functional teams to solve complex business problems, leveraging your expertise in areas such as deep learning, reinforcement learning, computer vision, and motion planning
- Demonstrate the ability to work independently, thrive in a fast-paced, ever-changing environment, and communicate effectively with diverse stakeholders
BASIC QUALIFICATIONS
- Are enrolled in a PhD
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
- Must be eligible for and available for full-time (40 hours per week) internship for the whole duration of the internship/co-op
PREFERRED QUALIFICATIONS
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of results
The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
USA, CA, San Francisco - 171,600.00 - 222,200.00 USD annually