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Machine Learning Engineer, Detection and Tracking

Helsing· AI & Engineering
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Washington, DCPosted 2mo ago

About the role

Applied ML role focused on detection and tracking models for Helsing's AI-powered drone platform, owning the full model lifecycle from data curation to deployment on edge platforms.

Responsibilities

  • Training and fine-tuning detection models (YOLO, DETR, Faster R-CNN, and similar architectures) on mission-specific datasets
  • Implementing and improving multi-object tracking pipelines (SORT, DeepSORT, ByteTrack, or similar)
  • Evaluating model performance: analyzing metrics, diagnosing failure modes, and iterating on data and model improvements
  • Managing the data pipeline end-to-end: assessing raw data, coordinating annotation, curating datasets, and implementing augmentation strategies
  • Optimizing models for deployment on SWaP-constrained and embedded platforms (quantization, pruning, TensorRT, ONNX export)
  • Collaborating with systems engineers to integrate models into the broader Altra platform
  • Working across sensor modalities as needed, including electro-optical, infrared, and other imaging sources

Qualifications

  • Have 5+ years of experience in applied machine learning or computer vision
  • Bachelor's degree in Computer Science, Electrical Engineering, or a related field; Master's or PhD strongly preferred
  • Production experience training and deploying object detection models — not just research or academic projects
  • Proficient in Python and PyTorch or a comparable deep learning framework
  • Strong intuition for data quality; ability to interpret annotated datasets, training curves, and evaluation metrics
  • Experience with the full model training lifecycle: data curation, annotation management, training, evaluation, and deployment
  • Experience optimizing models for deployment on SWaP-constrained and edge platforms (TensorRT, ONNX, quantization)
  • Understand multi-object tracking and have implemented or worked with tracking algorithms in practice
  • Ability to read and contextualize scientific papers in computer vision and apply findings to production systems
  • U.S. citizenship required

Skills

Required:Detection model trainingMulti-object trackingData quality and dataset curationSWaP-constrained deploymentPythonPyTorchReading scientific papers
Nice to have:Sensor modalities

Benefits

  • A focus on outcomes, not time-tracking
  • Generous compensation and benefits package (in addition to base salary) that includes insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work depending on position
Last updated Sep 1, 2026. Interested? Apply on the company site.

About Helsing

Helsing | Artificial intelligence to protect our democracies

AI for electronic warfareAI-enabled precision mass and autonomous systemsAutonomous air dominanceMass defence manufacturingRecce strike softwareUnderwater autonomous massliquid-ai-recruiting-target
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