Research Scientist - World-Action Foundation Model, Robotics
Core
Researching pretraining world-action foundation models with vision and physics modalities to enable robot action and simulation world generation.
Role type
Research Scientist (World-Action Foundation Model, Robotics)
Builds
Pretrained world-action foundation models, simulation worlds, and algorithms for autonomous driving and robotic systems.
Domain
Physical AI, Robotics, Autonomous Driving, 3D Vision
Deliverable
production ML models | research
Required skills
3D vision, reconstruction, generation, multi-modal pretraining, distributed machine learning model training, Python, PyTorch, robotics systems
Preferred skills
3D foundation model pretraining, multi-modal foundation models, feed-forward Gaussian splatting, world foundation model generation, 3D/multi-view end-to-end models for autonomous driving, human data processing
Technologies
Python, PyTorch, Gaussian splatting
Responsibilities
Conduct research on pretraining world-action foundation models; Dive into vision-physics modality association, spatial reasoning, and deformable object modeling; Collaborate with engineering teams to test and deploy algorithms; Work on research publications for top-tier conferences
Seniority
Open to all years of experience (Junior to Senior)