The role

As a Tech Lead, Machine Learning Engineer within Wayve’s AV Product Engineering team, you will lead the navigation workstream for our end-to-end autonomous driving system - spanning L2+, L3, and robotaxi products. This is a rare opportunity to own your work from model training all the way through to deployment in production vehicles, with full visibility into the entire pipeline. Joining a small, high-impact team, you will set the technical direction for navigation ML and have meaningful scope for growth as the team expands.

Key Responsibilities

Lead the navigation workstream, including route planning, rerouting, and driving across L2+, L3, and robotaxi products.
Train and deploy end-to-end models for navigation and driving features, owning the full lifecycle from model training through to vehicle integration and production deployment.
Define the roadmap and technical vision for navigation ML within the AV Features team, helping shape the direction of L2+ driving features.
Collaborate closely with the Evaluation, Robot Software, and Data Platform teams to iterate rapidly and improve model performance.
Leverage closed-loop and open-loop evaluation frameworks to measure driving quality and validate production readiness.
Mentor and support junior engineers on the team and shape the long-term technical direction

About you

In order to set you up for success as a Tech Lead ML Engineer at Wayve, we’re looking for the following skills and experience

Essential

7+ years of ML engineering experience with a strong track record of shipping deep learning systems to production.
Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.
Hands-on experience with transformer-based and multimodal architectures, including vision-language models (VLM), vision-language-action models (VLA), or equivalent.
Demonstrated ability to train and deploy end-to-end ML models for production systems.
Strong understanding of end-to-end learning approaches for driving, embodied AI, or related domains.
Ability to take full ownership of a technical workstream - driving it from research and experimentation through to production deployment.

Desirable

Prior work in autonomous driving, imitation learning, or trajectory prediction. Or background in the AV industry, ideally from a perception, planning, controls, or evaluation team.
Experience with closed-loop simulation and open-loop evaluation for autonomous driving or robotics systems.
Familiarity with navigation problems, route planning, or multi-modal sensor fusion.
Research publications in relevant areas (machine learning, robotics, computer vision) - less critical than strong applied production experience

This is a full-time role based in our office in Sunnyvale. 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.

Tech Lead, ML Engineer - AV Product engineering