helsing
Machine Learning Engineer, Detection and Tracking
At a Glance
- Location
- Washington, District of Columbia, United States
- Posted
- 2026-06-18T14:33:06-04:00
Key Requirements
Required Skills
Domain Knowledge
- Defense
- Embedded Systems
Benefits & Perks
us compensation and benefits package (in addition to base salary) that inclu
Requirements
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)
Compensation & Benefits
A focus on outcomes, not time-tracking
A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.
Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law.
Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Helsing's Candidate Privacy and Confidentiality Regime can be found
here
Responsibilities
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.
About the Company
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.