Machine Learning Engineer ADAS
Wayve is a London-headquartered embodied-AI company developing and licensing mapless, vehicle-agnostic driving software for assisted, automated, and robotaxi applications.
About Wayve
Wayve Technologies Ltd. develops the Wayve AI Driver, an end-to-end, data-trained software platform that runs on onboard vehicle compute and native sensors. It is designed for OEM integration across L1 driver assistance through L4 automated driving, without HD maps.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will train, debug, evaluate, and improve computer-vision and 3D-perception models. You will build scalable data pipelines and labelled datasets, develop ADAS perception capabilities, and work across the ML lifecycle from data through evaluation and iteration.
Requirements
- Computer vision
- Deep learning
- Machine learning engineering
- 3D perception
- LiDAR
- Multi-view geometry
- Tracking
- 3D reconstruction
- Model evaluation
- Dataset generation
Responsibilities
- Train, debug, and improve computer-vision and 3D-perception models
- Build scalable data pipelines including auto-labelling and pseudo-labelling
- Develop detection, classification, and instance-segmentation capabilities
- Build tracking and 3D-reconstruction pipelines
- Evaluate models and generate datasets
Benefits
- Equity
- Relocation support
- Visa sponsorship where applicable
- Hybrid working
- Core hours
- Learning and development budget
- Health insurance
- Dental insurance
- Enhanced maternity leave
- Enhanced paternity leave
- Retirement or pension
- Access to therapists
- Wellbeing partnerships
- Team socials
Hiring Process
Initial recruiter screen (30 minutes) → competency interviews in programming and system design (2 hours total) → domain-specific deep-dive technical interviews (1 hour total) → final mission and values interview (1 hour).