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Posted a day ago
Machine Learning Engineer, ADAS
WayveMachine Learning Engineer, ADAS
Perks & benefits
Annual LeaveHealth InsurancePaid LeaveRelocation AllowanceVisa
Requirements
CV-focused deep learning systems, Applied ML engineering, 3D perception concepts, LiDAR, Multi-view geometry, Tracking, 3D reconstruction
Skills
Computer VisionMachine LearningDeep Learning
About the role
About the Company
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Responsibilities
- Train, debug, and improve computer vision and 3D perception models
- Iterate based on clear evaluation signals across the full ML lifecycle
- Build scalable data pipelines including auto-labelling and pseudo-labelling
- Deliver core ADAS perception capabilities such as detection, classification, and instance segmentation
- Contribute to offline pipelines like tracking and 3D reconstruction
Requirements
- Experience building and shipping CV-focused deep learning systems
- Strong applied ML engineering skills
- Experience with 3D perception concepts (LiDAR, multi-view geometry, tracking, or 3D reconstruction)
- Ability to own work end-to-end including evaluation and dataset generation
- Pragmatic problem-solving skills under real product constraints
Benefits
- Salaries benchmarked against the market annually
- Meaningful equity
- Relocation support and visa sponsorship where applicable
- Hybrid working and access to vehicle workshops and labs
- Learning and development budgets
- Comprehensive health, dental, and wellbeing benefits
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Wayve · London
