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

Cambridge - B3 Crossing, United States

Philips

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Job Title

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

Job Description

Job title:
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.


How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.

Indicate if this role is an office/field/onsite role.

About Philips
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.
• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.

If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.

If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here

Philips Transparency Details  

The hourly pay range for this position is $34.00-46.00, plus overtime eligible.  The actual base pay offered may vary depending on multiple factors including, job-related knowledge/skills, experience, business needs, geographical location, and internal equity.   

Details about our benefits can be found here.   

At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.   

Additional Information 

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. 

Company relocation benefits will not be provided for this position.  For this position, you must reside in or within commuting distance the job posting location. 

This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates.  Interested candidates are encouraged to apply as soon as possible to ensure consideration.

Philips is an Equal Employment and Opportunity Employer/Disabled/Veteran and maintains a drug-free workplace.

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Tags: Classification Computer Science Deep Learning Engineering PhD Python PyTorch Research

Perks/benefits: Career development Equity / stock options Health care

Region: North America
Country: United States

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