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# Machine Learning Engineer

- **Company:** COVAR, LLC
- **Location:** Durham, NC, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Python (Programming Language), Logistic Regression, Machine Learning, Natural Language Processing, NumPy, Object Detection, Regression Testing, Tensorflow, Software Engineering, Pytorch, Git, Pandas, Information Technology, Production Code
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/machine-learning-engineer-covar-8129032

## About the Role

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., * 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)

## Description

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.


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