2027 Applied Science Internship - United States, PhD Student Science Recruiting Frontier AI & Robotics, Frontier AI & Robotics
Core
PhD-level research internship developing novel algorithms and modeling techniques at the intersection of Large Language Models (LLMs) and generative AI for robotics.
Role type
PhD student research intern (Applied Science)
Builds
Scalable algorithms and modeling techniques for robotic perception, manipulation, and control (via careerplan.io/jobs/10564600-2027-applied-science-internship-united-states-phd-student-science-recruiting-frontier-ai-r)
Domain
Robotics + Generative AI / LLMs
Deliverable
production ML models
Required skills
Deep learning, Reinforcement learning, Computer vision, Motion planning, Multimodal LLMs, World models, Image/video tokenization, Sim2real transfer, Bimanual manipulation, End-to-end vision-language-action models
Preferred skills
Statistical analysis of results, Experimental design
Technologies
Python, PyTorch, JAX, C++, Java
Responsibilities
Develop novel, scalable algorithms and modeling techniques; Tackle challenging research problems on production-scale data; Collaborate with cross-functional teams to solve complex problems; Critically review and validate outputs from AI tools and automated systems