As a Staff Tech Lead Manager on Wayve’s Measurement team in AI Evaluation, based in our London office, you will lead a team building and productionising offline scene understanding models. You will directly manage four Senior Machine Learning Engineers and own the technical direction for turning technology from our on-vehicle models and Wayve Foundation Models into the robust, scalable scene understanding models that power our validation machine. You should be motivated by measurement and evaluation as a first-class engineering discipline.
Your team’s mission is to predict and explain counterfactual outcomes, answering the question “what would have happened if we’d used a different driving model?”, and to build the models that let Wayve understand coverage, mine rare events, and assess the behaviour of our end-to-end AV2.0 driver after on-road runs and in simulation. The offline environment gives the team headroom the vehicle never has: more compute per frame, larger models, and access to both past and future temporal context. The outputs are mission-critical, directly informing model development decisions and customer deliverables. This work currently spans several teams and sites, and you will pull it together into one coherent technical direction, working closely with on-vehicle modelling in AV Core, foundation model teams, Evaluation, simulation, and Model Development Platform across the UK and US.