Machine Learning Engineer, Detection and Tracking

📋 Description

• You own detection and tracking models from training to deployment.
• Manage the full model lifecycle on US-specific datasets.
• Develop production ML that runs on edge platforms.
• Collaborate across teams to ship robust tracking solutions.
• Balance model performance with data quality and production constraints.

🎯 Requirements

• 5+ years in applied ML or computer vision.
• Bachelor’s in CS/EE; Master/PhD preferred.
• Production experience with object detection models.
• Proficient in Python and PyTorch; strong in C++/Rust a plus.
• Hands-on with YOLO, DETR, Faster R-CNN; multi-object tracking (SORT/DeepSORT).
• Experience deploying with TensorRT/ONNX; quantization for edge.

🎁 Benefits

• Focus on outcomes, not time-tracking.
• Generous compensation and benefits; remote/hybrid options may apply.
• Helsing is an Equal Opportunity Employer.