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)