6 hours ago
Washington, DC, USASenior
Responsibilities
- Train and fine-tune detection models on mission-specific datasets
- Implement and improve multi-object tracking pipelines
- Evaluate model performance, diagnose failure modes, and iterate on data and model improvements
- Manage data pipelines including raw-data assessment, annotation coordination, dataset curation, and augmentation
- Optimize models for SWaP-constrained and embedded platforms through quantization, pruning, TensorRT, and ONNX export
- Collaborate with systems engineers to integrate models into the Altra platform
- Work across electro-optical, infrared, and other imaging sensor modalities
Requirements
- 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
- Proficiency in Python and PyTorch or a comparable deep learning framework
- Experience with data curation, annotation management, training, evaluation, and deployment across the full model lifecycle
- Experience optimizing models for SWaP-constrained and edge platforms using techniques such as TensorRT, ONNX, and quantization
- Practical understanding and implementation experience with multi-object tracking algorithms
- Ability to read and apply scientific computer vision papers to production systems
- U.S. citizenship with an active security clearance or the ability to obtain one
- Strong proficiency in Rust or C++ for production model deployment and optimization is preferred
- Experience with infrared or thermal imaging and multiple sensor modalities is preferred
- Familiarity with MLflow, Weights & Biases, dataset versioning, and model registries is preferred
- Experience with CVAT, Label Studio, or similar annotation tools is preferred
- Computer vision experience in segmentation, pose estimation, or activity recognition is preferred
- Experience with simulators, emulators, or synthetic data generation is preferred
- Experience deploying models on GPU-accelerated embedded platforms such as NVIDIA Jetson is preferred
- Background in defense, intelligence, or other mission-critical environments is preferred
Benefits
- Medical and travel insurance coverage
- Flexible paid time off
- Paid holidays
- Remote and/or hybrid work available depending on position
- Generous compensation and benefits package
Categories
About Helsing
Helsing was founded to provide Artificial Intelligence to protect our democracies. Helsing works with partners in governments and across industry. Together, we develop systems that leverage AI and autonomy to provide autonomous mass that is sovereign, scalable and affordable. We’re looking for people with their heart in the right place, who share our conviction that liberal democratic values are worth protecting, for ourselves and for future generations.