# Machine Learning Internship Summer 2027 at CoVar > United States · Intern · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Acovar%3A5240360007 (read 2026-11-13). ## Facts (observed) - Company: [CoVar](https://alderhq.app/companies/covar) - Location text: Durham, NC; Durham Office - Where it can be done from (inferred): United States (evidence: "Location: Durham, NC; Durham Office") - Posted: 2026-09-16 (58 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-09 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/covar/jobs/5240360007 - Skills listed (inferred): Python, PyTorch ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (United States, n 76): p25 $108k, median $146k, p75 $177k ## Description (the employer's text) ### About CoVar CoVar is a small, mission-driven AI/ML R&D software company based in Durham, NC and McLean, VA. We build advanced software and machine learning systems that help the DoW detect threats in high-stakes environments and enable biomedical researchers to accelerate discoveries that save lives. Our team is composed of curious, passionate engineers who care deeply about using AI to solve real-world problems that matter. ### Internship Overview - 8-12 weeks – flexible, depending on your schedule - In-person in Durham, NC - Competitively paid internship - Matched with one project based on your current expertise and interests - Paired with an advisor or project lead who will guide you and help you set and meet your goals - Concludes with you presenting your work either internally to CoVar or externally to the customer ### Interview Timeline - Accepting applications online from now to mid-November 2026 - Interviews starting in September 2026 - Interview steps consist of a video screening and a code screening - Offers out by end of November 2026 ### About the 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 may have the opportunity to present your work to high-level customers in the DoW and in the industry. ### Qualifications Applicants should have expertise in Python (including NumPy, pandas, and other packages) and PyTorch. 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 some computer vision algorithms (e.g., for object classification (ResNet, ResNext), object detection (e.g., YOLO, CenterNet), or image segmentation) and/or other modern image processing AI/ML techniques (vision image transformers, vision language models, etc.). Previous experience with DoW customers is a plus. ### Minimum qualifications - Software expertise: Python and associated numerical and analytics packages (NumPy, pandas, etc.); git; PyTorch. - 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. - Pursuing 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) - Work authorization: US citizen ### Bonus skills - Department of War project experience ### Benefits - Competitive hourly wages - Flexible work schedule - Hybrid policy (in office at least 3x per week) Email us: careers@covar.com Visit us: www.covar.com --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Acovar%3A5240360007 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.