Machine Learning Engineer, Detection and Tracking

Helsing is seeking a Machine Learning Engineer to own the detection and tracking models that power its AI-driven drone platforms. This applied ML role involves training, tuning, and deploying object detection and multi-object tracking systems against US-specific datasets, with a strong focus on production reliability and edge deployment. You will manage the full model lifecycle, from data curation and annotation to evaluation and optimization for SWaP-constrained platforms, and collaborate with systems engineers to integrate models into the broader Altra platform.

• Train and fine-tune detection models (YOLO, DETR, Faster R-CNN, etc.) on mission-specific datasets
• Implement and improve multi-object tracking pipelines (SORT, DeepSORT, ByteTrack, etc.)
• Evaluate model performance, diagnose failure modes, and iterate on data and model improvements
• Manage data pipelines end-to-end: assess raw data, coordinate annotation, curate datasets, and implement augmentation strategies
• Optimize models for deployment on SWaP-constrained and embedded platforms (quantization, pruning, TensorRT, ONNX)
• Collaborate with systems engineers to integrate models into the Altra platform
• Work across sensor modalities as needed, including electro-optical, infrared, and other imaging sources

• 5+ years of experience in applied machine learning or computer vision
• Bachelor's degree in Computer Science, Electrical Engineering, or related field (Master's/PhD strongly preferred)