Helsing
Machine Learning Engineer, Detection and Tracking
Washington, DC
No sponsorshipDetected 33 days ago
PythonRustC++AlgorithmsMachine LearningDeep LearningPyTorchComputer VisionMLOpsElectrical EngineeringResearch
About the role
- 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
Responsibilities
- You will own the detection and tracking models that power Helsing's products - training, tuning, and deploying models against US-specific datasets.
- You will manage the full model lifecycle - from assessing and curating training data through annotation, training, evaluation, and deployment to edge platforms.
Requirements
- Have experience with the full model training lifecycle: data curation, annotation management, training, evaluation, and deployment
- Are a U.S. citizen with an active security clearance or the ability to obtain one
- Have a Bachelor's degree in Computer Science, Electrical Engineering, or a related field; Master's or PhD strongly preferred
Nice to have
- Strong proficiency in Rust or C++ for production model deployment and optimization
- Experience with multiple sensor modalities - particularly infrared or thermal imaging
- Familiarity with MLOps tooling: experiment tracking (MLflow, Weights & Biases), dataset versioning, model registries
- Experience with annotation tools and workflows (CVAT, Label Studio, or similar)
- Experience with simulators, emulators, or synthetic data generation for training and evaluation
- Experience deploying models on GPU-accelerated embedded platforms (NVIDIA Jetson, similar)
- Background in defense, intelligence, or other mission-critical environments
- Join Helsing and work with world-leading experts in their fields
Skills
- Are proficient in Python and PyTorch or a comparable deep learning framework
Benefits
- Have 5+ years of experience in applied machine learning or computer vision
- Can read and contextualize scientific papers in computer vision and apply findings to production systems
- Background in computer vision beyond detection - segmentation, pose estimation, activity recognition
Company info
- Helsing develops artificial intelligence-enabled capabilities to protect and defend democracies. We build Altra, an AI-powered drone software platform, and HX-2, our autonomous drone. We are growing our US operations, cultivating an ambitious and committed team of mission-driven professionals to apply their skills to solve challenging problems.
- The role
- You will own the detection and tracking models that power Helsing's products - training, tuning, and deploying models against US-specific datasets. This is an applied ML role: you won't be writing research papers, but you will be expected to have strong intuition for model performance, data quality, and the practical trade-offs involved in getting detection and tracking systems to work reliably in production. You will manage the full model lifecycle - from assessing and curating training data through annotation, training, evaluation, and deployment to edge platforms.
- The day-to-day
- Helsing develops artificial intelligence-enabled capabilities to protect and defend democracies.
- We build Altra, an AI-powered drone software platform, and HX-2, our autonomous drone.
- We are growing our US operations, cultivating an ambitious and committed team of mission-driven professionals to apply their skills to solve challenging problems.
Visa & Work Authorization
- citizen with an active security clearance or the ability to obtain one
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This listing is sourced directly from Helsing's careers page and normalized into a canonical job model.