Full Job Description
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 problems, and to communicate research findings clearly, 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
Leverage AI-powered tools where applicable to accelerate research, experimentation, and prototyping. Critically review and validate outputs from AI tools and automated systems.
BASIC QUALIFICATIONS
- Are enrolled in a PhD
- Can relocate to where the internship is based
- Experience programming in Java, Python, and where applicable, C++ or JAX
- Must be eligible for and available for full-time (40 hours per week) internship for the whole duration of the internship/co-op
- Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions
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. 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.
San Francisco, CA, USA - 156,060.00 USD Annually