Applied Science Internship - United States, Undergrad Student Science Recruiting, Frontier AI & Robotics (Start ASAP)

Join Amazon’s Applied Science team to develop cutting-edge AI and robotics algorithms, collaborating with world-renowned experts in a fast-paced environment.

Your Role

Key responsibilities include:

• Develop novel, scalable algorithms and modeling techniques advancing LLMs and generative AI for robotics
• Tackle challenging research problems on production-scale data focused 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
• 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 in 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
• Experience programming in Java, C++, Python, or related languages
• Excellent problem-solving skills, attention to detail, and ability to work collaboratively in a team
• Eligibility and availability for full-time (40 hours/week) internship for the entire duration
• Willingness to relocate to the internship location (San Francisco, CA)
• 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
• 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, cutting-edge research papers, and mentorship from industry experts to sharpen technical skills and foster critical thinking and communication.

How to Apply

Applicants should apply 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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