Helsing
Machine Learning Engineer, Detection and Tracking
Washington, DC · Full-time · Posted Aug 18, 2026
- Experience
- 5+ years in applied machine learning or computer vision.
- Education
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field; Master's or PhD strongly preferred.
- Visa sponsorship
- U.S. citizenship required
About the job
Own the full lifecycle of detection and tracking models, from data curation and training through evaluation and deployment on edge platforms for Helsing products.
What you'll do
- Train, fine-tune, evaluate, and improve object detection models and multi-object tracking pipelines using mission-specific datasets.
- Manage data workflows, including data assessment, annotation coordination, dataset curation, and augmentation.
- Optimize and deploy models on embedded platforms, and collaborate with systems engineers to integrate them into the Altra platform.
What they ask for
- 5+ years of experience in applied machine learning or computer vision.
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
- Production experience training and deploying object detection models; proficiency in Python and PyTorch or a comparable deep learning framework.
- Experience with the full model training lifecycle, edge-model optimization, and practical implementation of multi-object tracking algorithms; U.S. citizenship required.
Nice to have
- Master's or PhD; strong proficiency in Rust or C++.
- Experience with multiple sensor modalities, MLOps, annotation workflows, or embedded GPU platforms.
Tools
YOLO, DETR, Faster R-CNN, SORT, DeepSORT, ByteTrack, Python, PyTorch
AI focus
Applied computer vision for detection and multi-object tracking, including model training, evaluation, and optimization for edge deployment.
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