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Philips AI / Deep Learning Medical Image Analysis Intern-Cambridge - May August 
United States, Massachusetts, Cambridge 
462494391

Yesterday
AI / Deep Learning Medical Image Analysis Intern-Cambridge, MA - May - August 2025


AI / Deep Learning Medical Image Analysis Intern
Your role:

  • Collaborate with a team of scientists and engineers on a challenging research project aimed at solving real-world healthcare problems.
  • Apply novel machine / deep learning techniques on large-scale patient imaging datasets.
  • Design, train, and validate algorithms for image and video analysis, detection, and classification.
  • Conduct systematic experimental evaluations leading to scientifically sound conclusions.
  • Contribute to publication of the work.

You're the right fit if:

  • Currently studying for a PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or Physical Sciences
  • Experience applying deep learning for medical imaging and conducting research in deep learning.
  • Strong proficiency in Python programming language and Pytorch library.
  • Experience processing and analyzing medical image data. Experience with ultrasound is a plus.
  • Self-motivated with ability to plan and execute research in a team environment.
  • Ability to communicate in English effectively, both written and verbal.

Indicate if this role is an office/field/onsite role.
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
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The hourly pay range for this position is $34.00-46.00, plus overtimeeligible. Theactual base pay offered may vary depending on multiplefactors including, job-relatedknowledge/skills, experience, business needs, geographical location, and internalequity.

Details about our benefits can be found

US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.