Machine Learning Engineer

Machine Learning EngineerEnsure you read the information regarding this opportunity thoroughly before making an application.About CoVarCoVar is a small AI/ML R&D software company with offices in Durham, NC and McLean, VA, 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 positionYou 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.QualificationsApplicants 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 qualificationsSoftware expertise: Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing. xijylhu 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 fieldExcellent technical communication skillsAbility to work in McLean, VA (relocation assistance available)Eligibility for US security clearance (US citizenship is required)Bonus skillsDepartment of Defense project experienceActive TS/SCI clearanceBenefitsCompetitive salary, cash bonus, equity structure, and 401k with employer contributionsExcellent health care coverage, including dental and vision plansFlexible work scheduleTuition supportVisit us:

Created: 2026-04-02