Machine Learning Engineer, Synthetic Data
Wayve · London, United Kingdom
Roboticsremotesenior
At a glance
Highlights
- Build world models that generate massive synthetic driving experience for AVs.
- Land synthetic data in real driving-model training and on-road performance.
- Scale generation across tens of thousands of driving segments.
What they offer
- Salaries benchmarked against market annually
- Meaningful equity
- Relocation support
- Learning and development budgets
- Health insurance and dental
- Enhanced maternity and paternity leave
- Retirement or pension where applicable
Ideal candidate
An applied ML builder with research-engineering instincts who loves bridging models and production. You thrive on ownership, cross-team collaboration, and turning generative advances into real autonomy progress.
Requirements
- 4+ years in applied ML / research engineering with a track record of training and shipping neural nets
- 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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