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.