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Helsing

Machine Learning Engineer, Detection and Tracking

  • Confirmed live in the last 24 hours
  • No salary listed
  • Mid level
  • On-site · Washington, DC
  • 5+ yrs exp
  • Added 1 month ago

About this role

Helsing is seeking a Machine Learning Engineer to develop and deploy detection and tracking models for their AI-powered drone platforms, Altra and HX-2. This applied ML role focuses on building robust, production-ready systems using frameworks like PyTorch, optimizing for resource-constrained environments, and ensuring data quality throughout the model lifecycle. You'll be a key contributor to protecting democracies through cutting-edge AI solutions.

What you'll do

  • Train and fine-tune object detection models (YOLO, DETR, Faster R-CNN).
  • Implement and improve multi-object tracking pipelines (SORT, DeepSORT, ByteTrack).
  • Evaluate model performance and iterate on data/model improvements.
  • Manage the full data pipeline, from curation to annotation and augmentation.
  • Optimize models for deployment on edge platforms using techniques like quantization and TensorRT.

What they're looking for

  • Python
  • PyTorch
  • Object Detection (YOLO, DETR, Faster R-CNN)
  • Multi-Object Tracking (SORT, DeepSORT, ByteTrack)
  • Model Optimization (TensorRT, ONNX, Quantization)
  • Data Curation
  • Computer Vision
  • Deep Learning

Benefits

  • Generous compensation and benefits package
  • Insurance coverage (medical and travel)
  • Flexible paid time off
  • Paid holidays
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Helsing

Industry
Aerospace & Defense
View all jobs at Helsing

Likely interview questions

  • Describe your experience training and deploying object detection models in a production environment.
  • How do you approach assessing and improving the quality of annotated datasets?