Machine Learning Engineer
- Location
- Durham, NC · On-site
- Job type
- Full-time
- Level
- Mid-level
- Listed
- 30 days ago
Skills & highlights for this role
- US citizenship
- Eligibility for US security clearance
- Python
- PyTorch
- machine learning fundamentals
- CI/CD pipelines
Also useful
- TensorFlow
- NumPy
- pandas
- YOLO
- CenterNet
Stated benefits & perks
- Health
- Dental
- Vision
- 401k match
- Parental leave
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
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.
From CoVar's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Machine Learning Engineer job at CoVar located?
This Machine Learning Engineer position at CoVar is located in Durham, NC (On-site). Always check CoVar's application page for specific state eligibility or relocation policies.
What qualifications are required for Machine Learning Engineer at CoVar?
For the Machine Learning Engineer role, CoVar highlights experience with Python, PyTorch, machine learning fundamentals, CI/CD pipelines. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Machine Learning Engineer position at CoVar?
This listing links directly to CoVar's Greenhouse application page. You can apply directly on CoVar's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.