Staff Machine Learning Engineer, Robotics

About the job

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 engineering teams

Wayve’s engineering teams are building the AI, robotics, simulation, data, and systems foundations needed to deploy a generalisable AI Driver safely and at scale.

About the vehicle generalization team

Vehicle Generalization makes it efficient, scalable, and predictable to deploy Wayve’s autonomous driving stack across a wide range of vehicle platforms by making our core autonomy generalise as widely as possible.

We work across pre- and post-training to improve how well our AI models generalise zero-shot to changes in perception—including cameras, intrinsics, field of view, lens distortion, and calibration—and embodiment, including vehicle dynamics, actuation limits, and rig geometry. We also own the Generalization Benchmark, Wayve’s tool for measuring how models transfer across platforms. Our work goes into production programmes with major OEMs.