Senior Machine Learning Engineer, AV Core
Wayve · London, United Kingdom
Roboticsremotesenior
At a glance
Highlights
- Build embodied intelligence that moves real vehicles safely at scale.
- Lead large-scale data enrichment for collision avoidance and robustness.
- Design out-of-distribution detection to enable robust driverless operation.
What they offer
- Salaries benchmarked against the market annually
- Meaningful equity in Wayve's long-term success
- Relocation support and visa sponsorship where applicable
- Learning and development budgets for training and conferences
- Comprehensive health, dental, parental leave and wellbeing benefits
Ideal candidate
Senior ML owner who thrives in ambiguous, high-ownership environments and cares deeply about real-world safety. Collaborative builder who bridges research and engineering to make autonomous driving robust.
Requirements
- Hands-on experience with ML systems deployed in the real world
- Proficiency in Python and PyTorch with strong software engineering practices
- Experience building reliable machine learning training and evaluation systems
- Track record with MLOps and infrastructure including distributed compute and large-scale inference
- Able to lead a substantial technical area across research and engineering boundaries
- 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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