CoVar
Machine Learning Engineer
McLean, Virginia +1 · Full-time · Posted Mar 5, 2026
- Location
- McLean, Virginia
McLean, Virginia, United States - Experience
- 5+ years required; 8+ preferred.
- Education
- B.S. in engineering, math, computer science, or related field; M.S./Ph.D. preferred.
- Visa sponsorship
- Eligibility for U.S. security clearance requires U.S. citizenship.
About the job
Leads DoD-focused machine-learning and computer-vision programs, delivering production systems from data preparation through deployment while engaging customers and supporting business development.
What you'll do
- Set technical strategy and manage end-to-end delivery, including requirements, milestones, resourcing, and risks.
- Build, train, evaluate, and deploy computer-vision models and pipelines; monitor and improve production systems, typically at the edge.
- Lead customer discussions and briefings, and contribute to proposals, technical reports, demos, and publications.
What they ask for
- 5+ years designing, building, and deploying production machine-learning systems; strong record leading technical delivery for complex projects.
- Deep understanding of ML fundamentals and experience with computer-vision architectures, data curation, annotation, and dataset quality control.
- Python, PyTorch or TensorFlow, git, CI/CD, automated testing, Docker, ONNX/TensorRT, and edge inference deployment.
- Excellent technical communication, customer-facing experience, cross-functional leadership, and eligibility for U.S. security clearance; U.S. citizenship required.
Nice to have
- 8+ years of experience; M.S./Ph.D.; prior DoD project experience or active Secret/TS/SCI clearance.
- Experience mentoring or managing engineers, proposal writing, sensor fusion, edge optimization, publications, or related listed areas.
Tools
Python, NumPy, scipy, pandas/polars, PyTorch, TensorFlow, Docker, ONNX/TensorRT
AI focus
Develops and deploys machine-learning and computer-vision systems, including detection, segmentation, and tracking models, for DoD-focused applications; typically deploys inference at the edge.
Model-written summary · the original posting is authoritative