Machine Learning Engineer, ADAS at Wayve
United Kingdom
Posted
on-site · full_time · Visa sponsorship
Responsibilities:
- Develop and iterate computer vision and 3D perception models used in ADAS (detection, segmentation, classification for lanes, objects, signs, lights).
- Work across the full ML lifecycle: data collection, training, evaluation, and production iteration.
- Build scalable offline tooling (tracking, 3D reconstruction) and auto-labelling pipelines to generate high-quality datasets.
- Collaborate with engineers and product teams to prioritise model improvements and validate via metrics and experiments.
- Balance work between latency-constrained online models and higher-throughput offline models as needed.
Requirements:
- Demonstrable experience shipping applied CV deep learning systems and strong ML engineering skills.
- Knowledge of 3D perception techniques (LiDAR, multi-view geometry, tracking, 3D reconstruction) or equivalent experience.
- Proficiency in Python and standard ML tooling for training, evaluation and dataset pipelines.
- Comfortable owning end-to-end projects, designing evaluations, and improving data quality via tooling.
- Practical, product-focused mindset and good communication within cross-functional teams.