Machine Learning Engineer
- Level
- Mid
Not stated in the posting: salary, work type, visa.
Open. First seen 3 October 2026.
About the role
Machine Learning Engineer
About CoVar
CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world.
About this position
You will help CoVar develop software and machine learning algorithms to solve real-world customer problems. You will work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems. You will have the opportunity to present your work to high-level customers in the DoD and in the industry. The position includes opportunities to publish novel work in both classified and unclassified settings.
Qualifications
Applicants should have expertise in Python (including NumPy, pandas, and other packages) and either PyTorch or TensorFlow. Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary. Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued. Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques. Previous experience with DoD customers is a plus.
Minimum qualifications
- Software expertise: Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing.
- AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc.
- B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field
- Excellent technical communication skills
- Ability to work in Durham, NC (relocation assistance available)
- Eligibility for US security clearance (US citizenship is required)
Bonus skills
- Department of Defense project experience
- Active US security clearance (secret or higher)
Benefits
- Competitive salary, cash bonus, equity structure, and 401k with employer contributions
- Excellent health care coverage, including dental and vision plans
- Parental leave
- Short-term and long-term disability insurance
- Life insurance
- Flexible work schedule
- Tuition support
- PTO and paid holidays
Visit us: www.covar.com
The team: Engineering
This role is one of 5 open in Engineering.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (5 of 5), Python (5 of 5), Computer Vision (4 of 5), NumPy (4 of 5), Pandas (4 of 5), PyTorch (4 of 5), Git (3 of 5)
OTHER ROLES ON THIS TEAM
- Machine Learning Internship Summer 2027 posted Sep 16
- Software Engineer posted Jun 26
- Machine Learning Engineer posted Mar 5
- Signal Processing Engineer posted Sep 8
From the team and dates on CoVar's own job board.
Salary context
65 other open postings titled Machine Learning Engineer state a salary: median USD 150,000 to USD 203,400 a year.
See Machine Learning Engineer salaries in the United States →
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