2026 Applied Science Internship - United States, Undergrad Student Science Recruiting, Frontier AI & Robotics

About the role

Join our elite team of researchers and engineers at the forefront of applied science, where we're harnessing the latest advancements in large language models (LLMs) and generative AI to reshape the world of robotics and unlock new realms of innovation. As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge robotics technologies.

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

Requirements

• 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

Qualifications

Basic Qualifications: Are enrolled in a Bachelor's degree or above, 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

Pay

The base pay for this position ranges from $62.21/hr in our lowest geographic market up to $102.31/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

Benefits

Our compensation reflects the cost of labor across several US geographic markets. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Schedule

Must be eligible for and available for full-time (40 hours per week) internship for the whole duration of the internship/co-op