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CoVar

Custom AI/ML solutions for mission-critical sectors

Machine Learning Intern

Applied Machine LearningConfirmed live in the last 24 hours
Internship · Summer 2027Durham, NC, USANo salary listed

About the Job

Requirements

  • Applicants must have expertise in Python and associated numerical and analytics packages, including NumPy and pandas, as well as Git and PyTorch.
  • Applicants must have expertise in machine-learning fundamentals, including gradient descent, cross-validation, ROC curves, and confusion matrices.
  • Applicants must have deep knowledge of the state of the art in at least one of computer vision, natural language processing, classical machine learning, or Bayesian models.
  • Applicants must be pursuing a Bachelor of Science degree; a Master of Science or Ph.D. is preferred, in engineering, mathematics, computer science, or a related field.
  • Applicants must be able to work in Durham, North Carolina.
  • Applicants must be U.S. citizens.

Responsibilities

  • Develop software and machine-learning algorithms to solve real-world customer problems.
  • Work with data, develop algorithms, evaluate results, and write production code for real-world systems.
  • Present work internally to CoVar or externally to the customer.
  • Potentially present work to high-level customers in the Department of War and industry.

Desired Qualifications

  • Familiarity with computer-vision algorithms for object classification, including ResNet and ResNeXt; object detection, including YOLO and CenterNet; image segmentation; and/or modern image-processing AI/ML techniques, including vision image transformers and vision-language models.
  • Knowledge of classical machine-learning techniques such as support-vector machines and logistic regression.
  • Previous experience with Department of War customers or projects.

About the Company

CoVar

Custom AI/ML solutions for mission-critical sectors

CoVar develops customized machine learning and AI software for defense, healthcare, and industrial sectors. Its solutions are mission-critical systems built to operate reliably on high-stakes tasks, such as monitoring safety systems in drilling operations. The company starts by understanding a client’s unique challenges and then uses its team of technologists to apply AI and ML techniques to create tailored software and services. For example, its Adaptive Alarms software, developed with partners like Shell and Pason, uses advanced algorithms to prevent disasters on offshore and land drilling rigs, protecting workers and the environment. CoVar differentiates itself by delivering specialized, high-value, robust software rather than generic tools, emphasizing reliability and safety in demanding environments. The company’s goal is to be a trusted partner that helps large organizations improve performance, safety, and operational capabilities through customized AI solutions.

Company size
11-50
Company stage
Grant
Total funding
$2.5M
Headquarters
McLean, VA
Founded
2011

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