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Wayve is building the AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn from real-world experience. This role leads the Measurement team within AI Evaluation, responsible for building and productionizing offline scene-understanding models that measure driving performance after on-road runs and in simulation.
You will lead and develop a London-based team of Senior Machine Learning Engineers while remaining deeply engaged in technical direction. Your responsibilities include setting the architecture for robust, scalable offline scene-understanding and measurement models; translating ambiguous business goals into sprint, quarterly, annual, and multi-year technical roadmaps; reviewing designs and code to raise the engineering quality bar; and ensuring models are reliable enough for customer-facing deliverables.
You will align roadmaps across on-vehicle modelling, foundation models, Evaluation, Simulation, and Model Development Platform teams in the UK and US, and identify capability gaps ahead of demand to build the technical and organizational case to address them.
Key projects include offline models that predict and explain counterfactual driving outcomes; scene-understanding systems that assess coverage, mine rare events, and measure learned driving behaviour; rig-agnostic architectures built from transformer, multimodal, and foundation-model technology; and production ML systems that shorten the loop between driving-model changes and reliable evaluation evidence.
Wayve operates a hybrid model combining in-person collaboration in offices and workshops with focused remote work. The company is not a mature, fully-structured organization; much of how it works is still being written, and you will help shape it.
REQUIREMENTS:
- 8+ years in ML engineering, including hands-on computer vision with camera or lidar data and a record of shipping production ML systems
- 2+ years managing or tech-leading senior engineers, combining people leadership with technical leadership
- Staff-level depth in transformers, multimodal systems, foundation models, and large-scale training
- Proficiency in Python and PyTorch or similar framework with strong judgement about production-grade ML
- Ability to align roadmaps across teams and geographies and communicate technical strategy clearly to senior stakeholders
- Experience with 3D scene understanding, offline models, simulation, counterfactual evaluation, or distributed teams is beneficial
