Machine Learning Internship Summer 2027

CoVar•Durham, NC

15h•Hybrid

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.

Requirements

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).
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.
US citizen

Nice To Haves

Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression).
Familiarity 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.
Department of War project experience.

Responsibilities

Develop software and machine learning algorithms to solve real-world customer problems.
Work with data.
Develop algorithms.
Evaluate results.
Write production code that goes onto real-world systems.
Present work to high-level customers in the DoW and in the industry.