Machine Learning Engineer

Job Summary

Focused on enhancing automated driving systems, the full-time Machine Learning Engineer will train, debug, and improve computer vision and 3D perception models while building scalable data pipelines in a hybrid work environment.

Key responsibilities

• Train and evaluate computer vision and 3D perception models based on performance metrics
• 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 (e.g., LiDAR, tracking, 3D reconstruction)
• Ability to own work end-to-end, including evaluation and dataset generation
• Strong applied machine learning engineering experience, not limited to research
• Passion for autonomy and a willingness to learn and adapt