Strong research record in 3d vision and reconstruction
Msc or phd in machine learning and computer vision
Technical experience in python, pytorch, and distributed ml training
Applied Intuition is seeking multiple Research Scientists to contribute to cutting-edge technology in the field of physical AI, specifically focusing on autonomous driving and robotics. The ideal candidates will have a strong research background in 3D vision and machine learning, and will work closely with cross-functional teams to advance their innovative solutions
Job Summary
The mission of the group is to create cutting-edge technology enabling next-generation physical AI with emphasis on end-to-end autonomous driving and robotic generalist.
Researchers will conduct research on pretraining world-action foundation models serving purposes for both robot action and simulation world generation.
Compensation includes base salary ranging from $126,000 to $423,000 USD annually, along with equity, comprehensive health benefits, and a 401k match.
Matching Summary
Match Score: 85
Applied Intuition is seeking multiple Research Scientists to contribute to cutting-edge technology in the field of physical AI, specifically focusing on autonomous driving and robotics. The ideal candidates will have a strong research background in 3D vision and machine learning, and will work closely with cross-functional teams to advance their innovative solutions.
Salary
Base: $126,000 - $423,000 USD annually; Bonus/Equity: Equity in form of options and/or restricted stock units; Benefits: Comprehensive health, dental, vision, life, disability insurance, 401k match, learning stipends
Skills & Requirements
Must-have
Strong research record in 3D vision and reconstruction
MSc or PhD in machine learning and computer vision
Technical experience in Python, Pytorch, and distributed ML training
Nice-to-have
Hands-on experience with feed-forward Gaussian splatting
Experience with multi-modal foundation model pretraining
Background in human data processing and incorporation
Key Requirements
MSc or PhD in machine learning or computer vision
Publications in top-tier conferences or journals
Experience with autonomy and robotics applications