Principal Machine Learning Engineer, 3D Geometric Vision

Before the detail, here's the challenge you'd help us solve.

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.

Here’s what this particular role covers.

🛠️ About our Teams

The Model Foundations team builds the geometric vision and 3D foundation models that underpin Wayve's autonomous driving systems, working at the intersection of large-scale deep learning, geometric computer vision, and real-world robotics to develop models that learn 3D structure and dynamics from fleet-scale sensor data.

🧠 Your day-to-day

As a Principal Engineer on the Model Foundations team, you will be a hands-on technical leader. You'll 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.

🧩 What you’ll be working on

• 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 geometric s