The board
- Where
- Durham, NC
- Posted
- Sep 16
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.
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.
What you'd do
- 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
- 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
What they want
- 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
- Department of War project experience
What you get
- Competitive hourly wages
- Flexible work schedule
- Hybrid policy (in office at least 3x per week)