Principal Machine Learning Engineer, Geometric Vision

📋 Description

• LeadModel foundations in geometric vision for autonomous driving.
• Prototype/train 3D foundation/world models from fleet data.
• Scale data generation and auto-labeling for geometric supervision.
• Develop offline SLAM/3D reconstruction pipelines from sensor data.
• Explore multi-view geometry, neural rendering, NeRFs, and 3D representations.
• Deploy models into production driving systems with hardware constraints.

🎯 Requirements

• 3D computer vision or geometry expertise (multi-view, reconstruction, neural rendering).
• Experience with PyTorch; strong Python/C++ software skills.
• Strong foundations in geometry, linear algebra, optimization, 3D transforms.
• Track record turning research into working systems and data pipelines.
• Principal-level technical leadership; set direction across teams.

🎁 Benefits

• Hybrid workplace in Sunnyvale with time in office and remote work.
• Competitive equity package and salary commensurate with experience.