Machine Learning Engineer

Job Summary

Focusing on training, debugging, and improving computer vision and 3D perception models, the full-time Machine Learning Engineer will work remotely to enhance ADAS capabilities through scalable data pipelines and model evaluation.

Key responsibilities

• Train and debug computer vision and 3D perception models, iterating based on performance signals
• Build scalable data pipelines, including auto-labelling and pseudo-labelling, to accelerate model development
• 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 (e.g., LiDAR, multi-view geometry, tracking)
• Ability to own work end-to-end, including evaluation and dataset generation
• Strong applied ML engineering experience, not limited to research
• Passion for improving real-world driving performance through better perception