Machine Learning Engineer, ADAS

📋 Description

• Train, debug, and improve CV and 3D perception models
• Work across data → training → evaluation → iteration for product impact
• Build scalable data pipelines, including auto-labelling / pseudo-labelling
• Contribute to end-to-end ML development in ADAS perception
• Collaborate with team to tackle underperforming areas in the system
• Balance online (in-car) and offline (large-scale) model work

🎯 Requirements

• CV-focused deep learning systems experience
• Experience with 3D perception pipelines (LiDAR, tracking, 3D reconstruction)
• Ability to own work end-to-end: data, training, evaluation
• Pragmatic problem-solving under product constraints
• Interest in improving real-world driving performance through perception

🎁 Benefits

• Salaries benchmarked against the market annually
• Meaningful equity and long-term ownership
• Relocation support and visa sponsorship where applicable
• Hybrid working with core hours and hands-on vehicle/workshop access
• Learning & development budgets for training and conferences
• Comprehensive benefits (health, dental, maternity/paternity leave, pension, wellbeing)