Applied Science Internship - Science Recruiting, Frontier AI & Robotics (Jan 2026)

Join Amazon as an Applied Science Intern to develop scalable AI and robotics algorithms alongside leading experts in a cutting-edge research environment.

Your Role

Here’s what you will be doing:

• Develop novel, scalable algorithms and modeling techniques advancing LLMs and generative AI for robotics
• Tackle challenging research problems on production-scale data focusing on robotic perception, manipulation, and control
• Collaborate with cross-functional teams leveraging expertise in deep learning, reinforcement learning, computer vision, and motion planning
• Work independently, thrive in a fast-paced environment, and communicate effectively with diverse stakeholders

About You

The company is looking for candidates who have:

• Enrollment in a Bachelor's degree or above
• Minimum age of 18 years
• Ability to work at least 40 hours per week and commit to a maximum 12-week internship
• Willingness to relocate to the internship location (San Francisco, CA)
• Experience programming in Java, C++, Python, or related languages
• Strong background in machine learning, deep learning, and/or robotics
• Publication record at science conferences such as NeurIPS, CVPR, ICRA, RSS, CoRL, or ICLR
• Experience with multimodal LLMs, world models, image/video tokenization, real2Sim/Sim2real transfer, bimanual manipulation, open-vocabulary panoptic scene understanding, scaling multi-modal LLMs, and end-to-end vision-language-action models
• Proficiency in Python and experience with PyTorch or JAX
• Excellent problem-solving skills, attention to detail, and ability to work collaboratively in a team
• Preferred: Experience designing experiments and statistical analysis of results

Compensation & Benefits

• Base pay ranges from $62.21/hr to $102.31/hr depending on geographic market and experience
• Potential equity, sign-on payments, and other compensation as part of total package
• Full range of medical, financial, and other benefits

Training & Development

• Access to state-of-the-art computing infrastructure and cutting-edge research papers
• Mentorship from industry luminaries
• Opportunities to sharpen technical skills and develop critical thinking and communication abilities

How to Apply

Applicants should submit their applications via Amazon’s internal or external career site as indicated in the job posting.

This job may close before the stated closing date, you are encouraged to apply as soon as possible

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