Machine Learning Engineer with Python

Salary: $81,000 - 111,000 per year Requirements: Proficiency in Python, including familiarity with NumPy, pandas, and other relevant librariesExperience with either PyTorch or TensorFlowStrong grasp of machine learning principles such as gradient descent, cross-validation, and evaluation metrics like ROC curves and confusion matricesFamiliarity with classical machine learning techniques such as support-vector machines and logistic regressionKnowledge of computer vision algorithms, particularly object detection networks (e.g., YOLO, CenterNet) and modern image classification methodsPrevious experience working with Department of Defense clients is advantageousBachelors degree in engineering, mathematics, computer science, or a related discipline; advanced degrees (M.S. or Ph.D.) are preferredExceptional technical communication skillsWillingness to work in Durham, NC (relocation assistance available)Required eligibility for US security clearance (US citizenship is mandatory) Responsibilities: Collaborate with our team to build software and machine learning algorithms addressing real-world challengesAnalyze data and develop predictive algorithmsEvaluate outcomes and refine algorithmsWrite production-quality code to integrate machine learning solutions into operational systemsPresent findings and work to high-profile clients within the Department of Defense and other sectorsEngage in opportunities to publish innovative research in both classified and unclassified environments Technologies: AIComputer VisionSupportMachine LearningPyTorchPythonSecurityTensorFlownumpypandasCI/CDGit More: At CoVar, we are a dynamic AI/ML R&D software company located in Durham, NC. Our mission is to leverage artificial intelligence to tackle significant problems, aiding the Department of Defense in threat detection, supporting biomedical researchers in disease cures, and monitoring machinery for safety and environmental protection. We offer competitive salaries along with cash bonuses, equity options, and a 401k plan with employer contributions. Enjoy comprehensive health care including dental and vision coverage, flexible work schedules, and tuition assistance as part of our commitment to our teams professional growth. last updated 25 week of 2026