Research Scientist - 3D Vision and Generation, Self-Driving

Applied Intuition•Sunnyvale, CA

134d•$126,000 - $423,000•Onsite

About The Position

Applied Intuition is seeking multiple passionate Research Scientists to join their Research Group. This group focuses on creating cutting-edge technology for next-generation physical AI, specifically in end-to-end autonomous driving and robotic generalist applications. The team consists of leading experts with a strong track record of academic and industry contributions. Researchers have access to industry-leading tools and infrastructure, including millions of miles of data and the ability to deploy developed methods into various autonomous and robotic systems. The role involves contributing to research publications, collaborating with engineers for algorithm deployment, and learning best practices within a fast-paced, customer-focused culture. The company is open to all years of experience and considers candidates with potential for Tech Lead and Manager roles.

Requirements

Strong research record in the fields of 3D vision, reconstruction and generation for autonomous systems and robotics, with publications in top-tier conferences or journals in the fields of computer vision, machine learning, and robotics
MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely-related fields
Passion for next-generation, scalable autonomy and robotics for real-world systems
Strong research skills and the ability to work both independently and collaboratively on projects
Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training

Nice To Haves

Hands-on experience in at least one of the following fields: 3D foundation model and pretraining, Multi-modal foundation model, Feed-forward Gaussian splatting and reconstruction, World foundation model and generation, 3D/multi-view end-to-end models for autonomous driving or robotics

Responsibilities

Conduct research on 3D vision related topics including 3D/world-action foundation model, multi-modal pretraining, feed-forward Gaussian splatting, world foundation model with applications to autonomous driving, and fundamental topics on 3D vision and generation with broader applications
Work closely with other Research Scientists and interns on research publications for submission to top-tier conferences
Collaborate with Research Engineers and engineering teams to test and deploy algorithms to our autonomy and simulation products