Machine Learning Engineer, ADAS
WayveJob Description
📋 Description Train, debug, and improve CV/3D perception models Work end-to-end: data → training → evaluation → iteration Build scalable data pipelines, including auto-/pseudo-labelling Collaborate to identify where system underperforms and tackle it Deliver perception capabilities across lanes, objects, signs, lights 🎯 Requirements CV-focused DL systems experience 3D perception pipelines experience (LiDAR, tracking, 3D reconstruction) End-to-end ownership incl. evaluation and dataset generation Data pipeline development for model growth at scale Ability to work under product constraints Pragmatic problem-solving mindset 🎁 Benefits Hybrid working model (office + remote) Relocation support and visa sponsorship where applicable Competitive salaries with market benchmarking Meaningful equity and ownership Learning and development budgets Comprehensive health benefits