Staff Tech Lead Manager, Machine Learning, Vision Models

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

8+ years in ML engineering, including hands-on computer vision with camera and/or lidar sensor data, and a track record of shipping production ML systems from research through to reliable, monitored, customer-facing software.

2+ years line-managing or tech-leading senior engineers, including hiring, developing, and retaining strong ICs, with the appetite to keep doing both halves of the TLM role.

Staff-level technical depth that earns the trust of senior MLEs: transformer-based and multimodal architectures, foundation models, and large-scale training, with the ability to review designs and code credibly.

Proficient in Python and ML frameworks (esp. PyTorch), with strong judgement about what production-grade looks like for ML systems.

Strong cross-functional leadership: aligning roadmaps across teams and geographies, and communicating technical context and strategic direction clearly to engineers and senior leadership.

Desirable

Knowledge of perception systems and 3D scene understanding for autonomy, such as cuboid detection, lane estimation, depth estimation, and large-scale semantic enrichment of driving scenes.

Experience with offboard or offline models: auto-labelling, model distillation, temporal or world models, or other ways of exploiting compute that on-vehicle systems cannot.

Familiarity with simulation or counterfactual evaluation methods for autonomous systems.

Experience leading or partnering with distributed teams across UK and US time zones.

MS or PhD in Computer Science, Engineering, or a related field.

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.