Research Scientist - 3D Vision and Generation

Responsibilities

• Conduct research on 3D vision topics including 3D/world-action foundation models, multi-modal pretraining, feed-forward Gaussian splatting, and world foundation models for autonomous driving
• Collaborate on research publications for top-tier conferences
• Work with engineering teams to test and deploy algorithms to autonomy and simulation products

Requirements

• Strong research record in 3D vision, reconstruction, and generation for autonomous systems and robotics
• Publications in top-tier computer vision, machine learning, and robotics venues
• MSc or PhD in machine learning, computer vision, or closely related field
• Passion for scalable autonomy and robotics for real-world systems
• Technical experience in Python, PyTorch, computer vision, robotics systems, and distributed ML training

Preferred Qualifications

• Hands-on experience with 3D foundation models and pretraining
• Hands-on experience with multi-modal foundation models
• Hands-on experience with feed-forward Gaussian splatting and reconstruction
• Hands-on experience with world foundation models and generation
• Hands-on experience with 3D/multi-view end-to-end models for autonomous driving or robotics

About the Company

Applied Intuition builds digital infrastructure to bring intelligence to every moving machine, serving automotive, defense, trucking, construction, mining, and agriculture industries from its headquarters in Sunnyvale, California.