CoVar
Senior Machine Learning Engineer
McLean, Virginia · Senior
Sponsorship not specified$50k-$70kDetected 89 days ago
PythonGitDockerCI/CDMachine LearningTensorFlowPyTorchPandasNumPyData EngineeringComputer VisionMLOpsBusiness DevelopmentTest AutomationMentoring
About the role
- We're seeking a Senior ML Engineer (Technical Lead) with deep hands-on expertise in machine learning and computer vision, who can also lead DoD-focused programs, own customer engagement, contribute to business development, and help grow and manage a local engineering team in McLean over time. You'll lead end-to-end technical delivery - from data to deployment - while serving as the primary technical point of contact for our customers.
- This role is ideal for someone who enjoys building production-grade ML systems, mentoring engineers, and translating complex technical work into compelling customer outcomes.
- We're seeking a Senior ML Engineer (Technical Lead) with deep hands-on expertise in machine learning and computer vision, who can also lead DoD-focused programs, own customer engagement, contribute to business development, and help grow and manage a local engineering team in McLean over time.
Responsibilities
- Lead programs end-to-end: Scope requirements, set technical strategy and milestones, plan resourcing, manage risks, and deliver results for DoD-focused ML/CV projects.
- Own customer relationships: Run technical discussions, requirement discovery, demos, standing meetings, and briefings with senior stakeholders
- Build data pipelines, train/evaluate CV models, and write production code.
- Own customer relationships: Run technical discussions, requirement discovery, demos, standing meetings, and briefings with senior stakeholders; turn feedback into clear roadmaps.
- Our teams build AI/ML solutions that help the DoD detect enemies and threats, help biomedical researchers find new cures, and help monitor machinery to prevent injuries and environmental catastrophes.
- Scope requirements, set technical strategy and milestones, plan resourcing, manage risks, and deliver results for DoD-focused ML/CV projects.
Requirements
- ML/CV expertise:
- Experience with data curation/annotation workflows and dataset quality control.
Nice to have
- Strong track record leading technical delivery for complex projects.
- Python (NumPy, scipy, pandas/polars), PyTorch (preferred) or TensorFlow, git, CI/CD pipelines, automated testing, and code quality practices.
- Software engineering: Python (NumPy, scipy, pandas/polars), PyTorch (preferred) or TensorFlow, git, CI/CD pipelines, automated testing, and code quality practices.
Compensation
- $50k-$70k
Benefits
- Design, train, and optimize detection/segmentation/tracking models and custom computer-vision pipelines; handle imbalanced data, domain
- Computer vision experience with modern architectures (e.g., YOLO family, CenterNet, RetinaNet, Detectron2, ViTs, segmentation networks), augmentation strategies, and evaluation.
Company info
- Present results to high-level DoD and industry customers; author technical reports; publish novel work in classified/unclassified settings when applicable.
- Communicate and publish: Present results to high-level DoD and industry customers
- Communicate and publish: Present results to high-level DoD and industry customers; author technical reports; publish novel work in classified/unclassified settings when applicable.
- We are passionate engineers dedicated to pushing the bounds of what AI/ML can do in the real world.
This listing is sourced directly from CoVar's careers page and normalized into a canonical job model.