Machine Learning Engineer (ADAS)

Join our team as a Machine Learning Engineer (ADAS) where you'll train, debug, and improve computer vision and 3D perception models. You'll work across the full ML lifecycle, build scalable data pipelines, and deliver core ADAS perception capabilities. Enjoy benefits such as private healthcare, paid time off, mental health resources, community and socials, competitive compensation, and learning and development opportunities.

• Train, debug, and improve computer vision and 3D perception models, and iterate based on clear evaluation signals.
• Build scalable data pipelines (including auto-labelling / pseudo-labelling) to accelerate model development.
• Deliver core ADAS perception capabilities such as detection, classification, and instance segmentation, with domain focus across lanes, objects, traffic signs, and traffic lights.
• 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement
• You enjoy pragmatic problem-solving, working under real product constraints, and you’re excited to improve real-world driving performance through better perception
• You’ve built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research-only)
• You have experience with 3D perception concepts or pipelines (e.g, LiDAR, multi-view geometry, tracking, 3D reconstruction) and you’re comfortable owning work end-to-end, including evaluation and dataset generation