Robotics AI Research Intern - LLMs, Vision & Control

Amazon; United States; On-site; USD 85,411 - 140,515; Full time

Job summary

Amazon's Applied Science team in San Francisco invites you to join as an intern shaping the future of intelligent robotics. You will work with leading researchers on cutting-edge LLMs, multimodal AI, and robotics perception and control, gaining hands-on experience across deep learning, reinforcement learning, and vision-language integration.

You'll contribute to real-world problems, enjoy mentorship from renowned experts, and access world-class computing resources.

Qualifications

• Are enrolled in a Bachelor's degree or above.
• Able to relocate to the internship location.
• 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: Publications at top-tier peer-reviewed conferences or journals.
• Experience designing experiments and statistical analysis of results.

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.

Skills

Machine learning

Deep learning

Robotics

Python

PyTorch

JAX

Publications

Team collaboration

Research experience

Education

Bachelor's degree or higher

Tools

PyTorch

JAX

C++

Java

Job description

Amazon's Applied Science team in San Francisco invites you to join as an intern shaping the future of intelligent robotics. You will work with leading researchers on cutting-edge LLMs, multimodal AI, and robotics perception and control, gaining hands-on experience across deep learning, reinforcement learning, and vision-language integration.

You'll contribute to real-world problems, enjoy mentorship from renowned experts, and access world-class computing resources.