Senior Machine Learning Engineer, ADAS
Wayve · London, United Kingdom
Roboticsonsitesenior
At a glance
Highlights
- Build perception powering real-world driver assistance systems.
- Advance end-to-end models that act directly without hand-coded steps.
- Build data flywheel using offline models to auto-generate labels at scale.
What they offer
- Market-benchmarked salaries
- Meaningful equity ownership
- Relocation support
- Hybrid working with core hours
- Learning and development budgets
- Comprehensive health, dental and wellbeing benefits
Ideal candidate
Pragmatic ML engineer who owns perception end-to-end and thrives on shipping. Motivated by measurable real-world driving impact and iterating quickly under product constraints.
Requirements
- Built and shipped CV-focused deep learning systems with strong applied ML engineering
- Experience with 3D perception concepts or pipelines
- Comfortable owning work end-to-end including evaluation and large-scale dataset generation
- Enjoy pragmatic problem-solving under real product constraints
- Excited to improve real-world driving performance through better perception
- 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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