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Principal Machine Learning Engineer, Driving Product
Wayve · London, United Kingdom
Publicada em 16/10/2026
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Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.Here’s what this particular role covers.🛠️ About our Driving Product TeamThe Driving Product team owns Wayve's core end to end driving model, the algorithm that directly shapes how our vehicles behave on the road. This model already underpins production agreements with Nissan and Mercedes, with further OEM partnerships in the works, so the team's output is tied directly to Wayve's near term commercial milestones. The team is highly iterative: it looks at the top issues we see on the road, root causes them, and drives them out through data, model and evaluation changes, working closely with other teams across the business to resolve issues that span the model and vehicle interface.🧠 Your day-to-dayLead the team iterating on L2 driving performance, balancing hands-on technical work with team leadershipDiagnose the highest impact issues seen on the road, root cause them, and resolve them through data and model iterationOwn changes to data recipes, model architecture, evaluation and release readiness for the driving modelPartner with other teams to resolve cross-functional issues, including model and vehicle interface problemsAct as one of the team's key hands-on developers, writing code and running experiments alongside directing the team's priorities🧩 What you'll be working on:The end to end driving model that powers Wayve's L2 product and sits at the centre of our OEM partnerships with Nissan and Mercedes, with further partners in the pipelineScaling the driving model's performance across different geographies and vehicle platforms while hitting performance and compliance KPIsData led iteration cycles: using on road and off road evaluation to identify the biggest performance gaps and close
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