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Machine Learning Intern/Co-op (Summer/Fall 2026)

1 month, 1 week ago
United States, Canada
Internship
Entry Level
Machine Learning Engineer
Data Science and Analytics
Computer Vision Machine Learning MLOps Python PyTorch TensorFlow
Apply Now
PathAI

PathAI

PathAI is a biomedical software company based in Boston, Massachusetts, that leverages artificial intelligence to improve patient outcomes in pathology. Their platform enhances diagnostic accuracy and treatment efficacy for diseases like cancer through...

Pharmaceuticals
251-1K
Founded 2016
$90M raised
View All Jobs 7

Description

  • Contribute to the design, development, and evaluation of machine learning models for AI products, AI services, and core ML models.
  • Work on subprojects from the ML product roadmap, including model improvement efforts using novel techniques.
  • Partner with MLOps and platform teams to help build and improve ML pipelines.
  • Participate in experimental design, analysis, and knowledge-sharing activities such as design reviews, technical forums, and journal clubs.
  • Collaborate with scientists, engineers, and product managers to translate clinical needs into scalable ML solutions.

Requirements

  • Currently pursuing an M.S. or Ph.D. in Computer Science, Electrical Engineering, or Biomedical Engineering with a focus on Computer Vision and Machine Learning.
  • Strong programming skills in Python.
  • Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
  • Solid grasp of machine learning and/or computer vision fundamentals.
  • Excellent communication skills and the ability to work in a highly collaborative, cross-functional environment.
  • Ability to commit to a 3-6 month internship or co-op, with 4-6 months preferred.
  • Spring and Summer 2026 availability.
  • Preferred location in Boston, MA or New York, NY; remote candidates considered if US-based.
  • High-impact contributions through AI/ML publications, open-source projects, or AI-based products (nice to have).

Interested in this position?

Apply directly on the company website

Apply Now

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