Senior, ML Engineer - Offline Perception

Torc Robotics is developing autonomous driving technology for trucks. As a Senior ML Engineer on the Pseudo-Labeling team, you will design and deploy offline perception models to automatically annotate sensor data. You'll work with cameras, lidars, and radars to create high-quality annotations for training perception systems.

• Design, implement, test, and deploy offline object detection, tracking, and fusion modules on cloud services.
• Develop offline perception models and algorithms using disciplined software development processes.
• Define and implement data ingestion, preparation, curation, and governance for large datasets.
• Measure and track auto labeling quality to meet internal customer requirements.
• Provide technical guidance, coaching, and mentoring to team members.

• Bachelor's, Master's, or PhD in Computer Science, Robotics, Electrical Engineering or related field.
• 6+ years of experience (Bachelor's) or 3+ years (Master's) or 1+ year (PhD).
• Experience in Active Learning, Pseudo-labeling, Computer Vision, Deep Learning, Model training.
• Proficiency in 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, or BEV.
• Experience with ML Operations (MLOps) and tooling (MLFlow, Weights and Biases).