Machine Learning Engineering Manager, ADAS

Highlights

• Bring end-to-end AI driving to production-grade ADAS for OEM partners.
• Scale ML models from proof of concept to run on constrained automotive hardware.
• Lead high-priority growth phase driving Wayve's first ADAS production launch.

What they offer

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in ownership and long-term success
• Relocation support and visa sponsorship where applicable
• Hybrid working with core hours and hands-on vehicle workshops and labs
• Learning and development budgets for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced parental leave, pension, therapists and wellbeing discounts

Ideal candidate

An ML leader who enjoys coaching engineers while staying hands-on, staying steady through ambiguity and change. You care about shipping real-world embodied intelligence and shaping a growing team at the heart of autonomy.

Requirements

• Expert background in developing ML, specifically computer vision
• Are/have been a people manager and enjoy developing engineers
• Worked across systems with software developers and product teams, particularly on embedded software
• Hands-on experience with embedded runtime and inference optimisation with pragmatic model trade-offs
• Communicate clearly and thoughtfully across sites and cultures
• Stay steady and keep team moving when requirements are unclear or change often