Machine Learning Engineer, Detection and Tracking
Core
You will own the detection and tracking models that power Helsing's AI-powered drone software platform (Altra) and autonomous drone (HX-2), training, tuning, and deploying models against US-specific datasets for defense applications.
Role type
Applied machine learning engineer (detection and tracking)
Builds
AI-powered drone software platform (Altra) and autonomous drone (HX-2) for defense
Domain
Defense / Computer Vision
Deliverable
production ML models
Required skills
Object detection model training and fine-tuning, Multi-object tracking pipeline implementation, Model evaluation and failure mode diagnosis, Data pipeline management and curation, Model optimization for edge deployment, Sensor modality integration
Preferred skills
Deep learning frameworks (PyTorch), Scientific paper contextualization, SWaP-constrained platform optimization
Technologies
YOLO, DETR, Faster R-CNN, SORT, DeepSORT, ByteTrack, TensorRT, ONNX, Python
Responsibilities
Training and fine-tuning detection models on mission-specific datasets, Implementing and improving multi-object tracking pipelines, Evaluating model performance and diagnosing failure modes, Managing the data pipeline end-to-end including annotation and augmentation, Optimizing models for deployment on SWaP-constrained and embedded platforms, Collaborating with systems engineers to integrate models into the broader platform
Seniority
Senior, hands-on IC