Machine Learning Engineer, Detection and Tracking is a Computer Vision Engineer role (full-time). with Helsing. in WASHINGTON, US. Imported listing (source: aihiringboard.com). Apply on the employer's site (aihiringboard.com).
Imported listing (source: aihiringboard.com) · Apply on aihiringboard.com
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Imported job description
Sourced from aihiringboard.com
Helsing is seeking a Machine Learning Engineer to own detection and tracking models for its AI-powered drone software platform, Altra. This applied ML role involves training, tuning, and deploying models on US-specific datasets, managing the full model lifecycle from data curation to edge deployment. The position requires strong intuition for model performance and data quality, with a focus on production reliability. U.S. citizenship is required.
Responsibilities
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 by analyzing metrics, diagnosing failure modes, and iterating on improvements
Manage the data pipeline end-to-end, including raw data assessment, annotation coordination, dataset curation, and augmentation
Optimize models for deployment on SWaP-constrained and embedded platforms using quantization, pruning, TensorRT, and ONNX export
Collaborate with systems engineers to integrate models into the Altra platform
Work across sensor modalities such as electro-optical and infrared imaging
Requirements
5+ years of experience in applied machine learning or computer vision
Helsing is a defense AI company that provides AI-enabled software and autonomous systems to protect democracies. Its solutions integrate into existing hardware to enhance battlefield awareness and precision across land, air, sea, and electronic warfare domains.