Research Scientist, Physical AI - Foundation Models - PhD New College Grad 2026
$168k - $265k • Remote • US, CA, Santa Clara
Posted 26d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Research Engineer
About the job
Join our groundbreaking research team as we revolutionize the future of physical AI through advanced generative models. As a Research Scientist specializing in Generative AI for Physical AI, you will be at the forefront of developing next-generation algorithms that bridge the gap between virtual and physical realms. You will work with state-of-the-art technology and have access to massive computational resources to bring your ideas to life, shaping the future of AI where digital intelligence meets physical reality.
Responsibilities
- Pioneer generative AI algorithms for physical AI applications, focusing on advanced video and video-language models.
- Architect and implement data processing pipelines for Generative AI and Physical AI systems.
- Design and develop physics simulation algorithms to enhance Physical AI training.
- Scale and optimize large-scale training systems for foundation models using extensive GPU resources.
- Author research papers to share discoveries with the AI community.
- Drive innovation through collaboration with research teams, product groups, and external researchers.
- Facilitate technology transfer and contribute to open-source initiatives.
Requirements
- PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
- Deep expertise in PyTorch and related libraries for Generative AI and Physical AI.
- Strong foundation in diffusion, vision language, and reasoning models.
- Proven experience with reinforcement learning algorithms and implementations.
- Robust knowledge of physics simulation and its integration with AI systems.
- Demonstrated proficiency in 3D generative models and their applications.
Benefits
- Equity
- Benefits