Senior Machine Learning Engineer, Driving Product
Wayve · Sunnyvale, California USA
Roboticsremotesenior$312k–$351k
At a glance
Highlights
- Build AI driver behaviours from training through on-road validation to production.
- Ship models with direct impact on Nissan production and Robotaxi deliveries.
- Close the loop between trajectory prediction and real-world vehicle performance.
What they offer
- Salaries benchmarked against the market annually
- Meaningful equity
- Relocation support and visa sponsorship where applicable
- Hybrid working with core hours and hands-on vehicle workshops
- Learning and development budgets
- Health insurance, dental, enhanced maternity and paternity leave, pension, wellbeing support
Ideal candidate
You are a high-ownership, product-minded ML engineer energized by shipping autonomy to real vehicles and iterating fast from on-road results to production impact.
Requirements
- Proven track record training deep learning models with end-to-end ownership across data, training, evaluation and iteration
- Taken ML models into production through real-world constraints, quality and safety requirements
- Strong Python skills and hands-on experience with modern ML frameworks
- Comfortable shipping production-facing ML, not just research or proof-of-concept
- Background in end-to-end autonomous driving / embodied AI or large-scale product ML systems
- Reinforcement learning or behavioural cloning experience that improved real-world performance
- remote policy
- Hybrid working with core hours
- visa sponsorship
- Visa sponsorship where applicable
Lab profile
About Wayve
London-based AI lab building embodied driving intelligence for autonomous vehicles.
What they build
- Wayve Driver embodied AI driving software
- GAIA generative world models for driving
- LINGO language-grounded driving AI
Known for
- End-to-end embodied AI for driving
- Camera-first, mapless autonomy approach
- Large-scale real-world learning and simulation
Key facts
- Founded in 2017
- Headquartered in London, UK
- Backed by SoftBank Group, NVIDIA and Microsoft
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