Research Scientist, Generative AI for Physical AI - PhD New College Grad 2026
Core
Developing next-generation generative AI algorithms and physics simulation systems to bridge virtual and physical realms for Physical AI applications.
Role type
Research Scientist (Generative AI for Physical AI)
Builds
Generative AI models, physics simulation algorithms, and large-scale training systems for physical AI.
Domain
Artificial Intelligence, Robotics, Physics Simulation
Deliverable
production ML models
Required skills
Generative AI, diffusion models, vision-language models, reinforcement learning, physics simulation, 3D generative models, PyTorch, large-scale distributed training
Preferred skills
Publications at top AI conferences, robotics background, open-source contributions, research-to-product transition experience
Technologies
PyTorch, diffusion models, vision-language models, reinforcement learning frameworks, 3D generative frameworks
Responsibilities
Pioneer generative AI algorithms for physical AI, architect data processing pipelines for training data, design physics simulation algorithms, scale training systems on 20,000+ GPUs, author research papers, collaborate with product groups and external researchers, facilitate technology transfer
Seniority
PhD New College Grad 2026 (Entry-level Research Scientist)
