Machine Learning Engineer, Detection and Tracking

Helsing seeks a Machine Learning Engineer to own detection and tracking models for its AI-powered drone platform. This role involves training, tuning, and deploying models on mission-specific datasets, managing the full model lifecycle from data curation to edge deployment.

• Training and fine-tuning detection models (YOLO, DETR, Faster R-CNN) on mission-specific datasets
• Implementing and improving multi-object tracking pipelines (SORT, DeepSORT, ByteTrack)
• Evaluating model performance: analyzing metrics, diagnosing failure modes
• Managing data pipeline end-to-end: assessing raw data, coordinating annotation, curating datasets
• Optimizing models for deployment on SWaP-constrained platforms (quantization, pruning, TensorRT, ONNX)
• Collaborating with systems engineers to integrate models into the broader platform

• 5+ years experience in applied machine learning or computer vision
• Bachelor's degree in CS, EE, or related field (MS/PhD preferred)
• Production experience training and deploying object detection models
• Proficient in Python and PyTorch
• Experience with full model training lifecycle: data curation, annotation, training, evaluation, deployment
• Experience optimizing models for edge deployment (TensorRT, ONNX, quantization)