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!
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.
Key responsibilities
In order to set you up for success as a Staff Tech Lead Manager at Wayve, we're looking for the following skills and experience.
Essential
Desirable
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
For US candidates only, please visit E-Verify Notice and Participation and Right to Work
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.