Wayve
This role involves leading and improving Wayve's Gaia world model, focusing on training, fine-tuning, and stabilizing long-horizon autoregressive generation for autonomous driving. The position requires technical leadership in post-training pipelines, model architecture decisions, and cross-functional collaboration to enhance model reliability and performance. The ideal candidate will have extensive experience with large-scale foundation models and modern ML engineering practices.
Headquarters
London, England, United Kingdom
Company Size
201-500 employees
Founded
2017
Wayve is a UK-founded autonomous driving company developing "embodied AI" — end-to-end learning systems that enable vehicles to perceive, reason and act in complex, dynamic environments. Their camera-first, data-driven approach trains neural policies from real-world driving and simulation to scale capability across locations and vehicle platforms rather than relying on hand-engineered, map-heavy rules. Wayve builds software for both advanced driver assistance and full automated-driving applications, emphasizing adaptability and continual learning. They work with OEMs and fleet partners to commercialize scalable autonomy for real-world deployment.
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Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Wayve.
Wayve didn’t post a salary, so this is our estimate from similar listings.
Right around the average for this role
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