Senior Machine Learning Engineer, ADAS

📋 Description

• Train, debug, and improve computer vision and 3D perception models, iterating based on clear
• Work across the full ML lifecycle: data, training, evaluation, and iteration
• Partner with the team to decide what to tackle next, based on where the system is underperforming
• Build scalable data pipelines, including auto-labelling and pseudo-labelling, to accelerate model

🎯 Requirements

• Built and shipped CV-focused deep learning systems, with strong applied ML engineering rather than
• Experience with 3D perception concepts or pipelines, such as LiDAR, multi-view geometry, tracking
• Comfortable owning work end-to-end, including evaluation and large-scale dataset generation
• Enjoy pragmatic problem-solving under real product constraints
• Excited to improve real-world driving performance through better perception
• Automotive domain experience is a bonus, but not a blocker if your perception background comes from

🎁 Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave