Primary record

Staff Tech Lead Manager, Machine Learning, Vision Models

Wayve Indexed employerLondon · London, England, United Kingdom
Source-hosted applyChecked 3h agoFull-Time
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Workplace

hybrid

Employment

Full-Time

Published

Aug 19, 2026

Closes

No date supplied

The role

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The role

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

Requirements

Department: Simulation, Evaluation, Validation