Principal Machine Learning Engineer, Driving Product
Wayve · London, United Kingdom
Roboticsremoteprincipal
At a glance
Highlights
- Own the core end-to-end driving model behind Nissan and Mercedes production deals.
- Iterate L2 driving performance using on-road and off-road evaluation to close gaps.
- Scale driving performance across geographies and vehicle platforms to hit KPIs.
What they offer
- Salaries benchmarked against the market annually
- Meaningful equity in Wayve's long-term success
- Relocation support where applicable
- Learning and development budgets for training and conferences
- Comprehensive benefits including health, dental, parental leave, pension and wellbeing support
Ideal candidate
Hands-on ML builder who has shipped production models and thrives iterating live systems with data. You want deep technical ownership and to grow a small high-impact team advancing real-world autonomy.
Requirements
- Highly technical and hands-on, comfortable writing Python and doing model and data iteration yourself
- Delivered deployed, production ML models, ideally in robotics or autonomous vehicles
- Experience shipping and iterating on ML for embodied AI and delivering incremental improvements to a live system
- Production-focused experience rather than primarily research or early-stage exploration
- remote policy
- Hybrid working with core hours
- visa sponsorship
- Visa sponsorship available 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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