Machine Learning Engineer

Job Summary

Working in a hybrid environment, the full-time Machine Learning Engineer specializing in ADAS will train, debug, and enhance computer vision and 3D perception models, while building scalable data pipelines to support model development and improve real-world driving performance.

Key responsibilities

• Train and iterate on computer vision and 3D perception models based on evaluation signals
• Build and maintain scalable data pipelines, including auto-labelling and pseudo-labelling
• Deliver core ADAS perception capabilities such as detection, classification, and instance segmentation

Required qualifications

• Experience in building and shipping CV-focused deep learning systems
• Familiarity with 3D perception concepts or pipelines, such as LiDAR and multi-view geometry
• Ability to manage work end-to-end, including evaluation and dataset generation
• Strong applied machine learning engineering experience, not limited to research
• Passion for autonomy and willingness to learn and tackle complex challenges