Staff Tech Lead Manager, Machine Learning, Vision Models
About this role
The Staff Tech Lead Manager, Machine Learning, Vision Models role at Wayve is located in London, United Kingdom, and suits a senior engineering leader experienced in computer vision and offline model production. This position involves leading a team of senior machine learning engineers while driving the technical architecture for offline scene-understanding systems.
Role Overview
Wayve seeks a Staff Tech Lead Manager, Machine Learning, Vision Models to join the Measurement team within AI Evaluation in London. The position combines people leadership of senior engineers with hands-on technical direction for offline scene-understanding models that evaluate driving performance. The role operates on a hybrid schedule combining office and workshop collaboration with remote work.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Wayve builds embodied intelligence for real vehicles and creates a platform for autonomous driving. The company pioneers an end-to-end AI approach allowing vehicles to learn directly from real-world experience, integrating mapless and hardware-agnostic AI platforms with global OEM partners for continuous software evolution from L2+ to L4.
How to Apply
Candidates should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the Staff Tech Lead Manager role located?
The role is based in London, United Kingdom, operating on a hybrid model that combines in-person collaboration in offices and workshops with remote work.
What experience level is required for this position?
Candidates need 8+ years in machine learning engineering, including 2+ years managing or tech-leading senior engineers, with staff-level depth in transformers, multimodal systems, and foundation models.
What programming languages and frameworks are used?
The role requires proficiency in Python and PyTorch or a similar framework.
Is visa sponsorship available?
Yes, relocation support and visa sponsorship are available where applicable.
What does the interview process involve?
The process includes a 25-minute recruiter screen, a 60-minute Hiring Manager Domain Chat, a 4-hour deep-dive interview covering ML architecture, systems, and domain expertise, and a 45-minute final interview focused on mission and values alignment.