Machine Learning Internship Summer 2027

AI in this role

pytorch

computer-visionnlp

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

How we score this

Machine Learning Internship Summer 2027 at CoVar scores 95 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.

AI Level 480 to 100
AI Level 360 to 79
AI Level 240 to 59
AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer VisionNlpPyTorch

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
What NLP problem have you worked on, and how did you measure whether it actually worked?
What are the limits of PyTorch that you've run into, and how did you work around them?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Computer Vision, Nlp, and PyTorch. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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