Principal Machine Learning Engineer, Geometric Vision
The role
As a Principal Engineer on the Model Foundations team you will build the geometric vision and 3D foundation models that underpin our autonomous driving systems.You will work at the intersection of large-scale deep learning, geometric computer vision, and real-world robotics, developing models that learn 3D structure and dynamics from fleet-scale sensor data.
You will be a hands-on technical leader. You will set direction for geometric vision, prototype and train new model architectures, build the data and supervision needed to scale them, and take successful ideas through to deployment on real vehicles.
Key responsibilities
Design and train 3D foundation models and world models using large-scale driving data.
Develop model architectures for 3D perception, geometric reasoning, reconstruction, and world modeling across space and time.
Build scalable data generation and auto-labeling pipelines that produce high-quality geometric supervision from large volumes of sensor data.
Develop and scale offline SLAM and 3D reconstruction systems and pipelines, using large-scale sensor data to recover accurate trajectories, scene geometry, calibration signals, and geome
