2027 Applied Science Internship - United States, Undergrad Student Science Recruiting, Frontier AI & Robotics
Core
Research and develop novel algorithms at the intersection of Large Language Models (LLMs) and generative AI for robotics.
Role type
Undergraduate Applied Science Intern (AI & Robotics Research)
Builds
Scalable algorithms and modeling techniques for robotic perception, manipulation, and control.
Domain
Artificial Intelligence, Robotics, Machine Learning
Deliverable
production ML models
Required skills
Deep learning, Reinforcement learning, Computer vision, Motion planning, Multimodal LLMs, Python, PyTorch or JAX (via careerplan.io/jobs/10564599-2027-applied-science-internship-united-states-undergrad-student-science-recruiting-frontie)
Preferred skills
Publications at top-tier conferences (NeurIPS, CVPR, ICRA, RSS, CoRL, ICLR), Statistical analysis, Simulation environments (MuJoCo, Isaac Sim), End-to-end vision-language-action models
Technologies
Python, PyTorch, JAX, MuJoCo, Isaac Sim
Responsibilities
Develop novel, scalable algorithms advancing the state-of-the-art in 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 to solve complex problems in deep learning and motion planning.
Seniority
Undergraduate Intern