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Internship Medical Imaging Machine Learning Jobs

AV

Summer 2027 Machine Learning Intern

Saint Paul, MN · On-site

Interns work alongside AV team members on meaningful projects involving cutting-edge technology ... AV offers an excellent benefits package including medical, dental vision, 401K with company ...

AV

Interns work alongside AV team members on meaningful projects involving cutting-edge technology ... AV offers an excellent benefits package including medical, dental vision, 401K with company ...

Flexjet LLC

Machine Learning Engineer

Cleveland, OH · On-site

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

AV

Interns work alongside AV team members on meaningful projects involving cutting-edge technology ... AV offers an excellent benefits package including medical, dental vision, 401K with company ...

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

Flexjet

Machine Learning Engineer

Cleveland, OH

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

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Internship Medical Imaging Machine Learning information

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$25.5K

$42.6K

$88K

How much do internship medical imaging machine learning jobs pay per year?

As of Sep 11, 2026, the average yearly pay for internship medical imaging machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is an internship in medical imaging machine learning?

An Internship in Medical Imaging Machine Learning is a temporary position, typically held by students or recent graduates, where individuals gain practical experience applying machine learning techniques to medical imaging data. Interns work alongside professionals to develop, train, and evaluate algorithms that help interpret medical images such as X-rays, MRIs, or CT scans. These roles often involve data preprocessing, model development, and performance analysis, providing valuable hands-on experience in both healthcare and artificial intelligence. This internship is ideal for those interested in combining expertise in computer science, machine learning, and medical diagnostics.

What types of projects can I expect to work on during an internship in medical imaging machine learning?

As an intern in medical imaging machine learning, you'll typically contribute to projects involving the development and validation of algorithms for tasks such as image segmentation, classification, or anomaly detection using clinical imaging data. Daily responsibilities often include data preprocessing, model training and evaluation, and collaborating with research scientists and clinicians to interpret results. You'll also have opportunities to participate in team meetings, present findings, and receive mentorship, which can help you build both technical and domain-specific skills for future roles in healthcare AI.

What are the key skills and qualifications needed to thrive as an intern in medical imaging machine learning?

To thrive in a Medical Imaging Machine Learning internship, you need a solid background in computer science, mathematics, and biomedical engineering, typically supported by coursework or experience in machine learning and image processing. Familiarity with Python, TensorFlow or PyTorch, and medical imaging tools such as DICOM viewers is commonly required. Strong analytical thinking, problem-solving abilities, and effective teamwork set candidates apart in this field. These skills and qualities enable interns to contribute meaningfully to research and development projects, ensuring accurate analysis and innovation in medical imaging solutions.
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Internship Medical Imaging Machine Learning jobs near you
Infographic showing various Internship Medical Imaging Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

AI Engineer - Medical Imaging & Surgical Robotics

Cambridge, MA • On-site

Philips
Software Development • 10K+ employees
Learn more about Philipsexternal

$129K - $205K/yr

Full-time

Retirement, PTO

Posted 19 days ago

Philips rating

8.3

Company rating: 8.3 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

Job description

Job Title
AI Engineer - Medical Imaging & Surgical Robotics
Job Description
AI Engineer - Medical Imaging & Surgical Robotics (Cambridge, MA)
Join Philips to help shape the next generation of intelligent surgical robotics. In this role, you will work with robotics, software, and clinical experts to develop first-of-a-kind computer vision medical AI solutions that advance autonomy, decision-making, and workflow intelligence for image-guided procedures.
Your role:
  • Develop and apply AI and computer vision algorithms for medical imaging and image-guided surgical robotics applications.
  • Design, train, evaluate, and optimize deep learning models, including convolutional neural networks, vision transformers, and other modern vision architectures for medical image understanding.
  • Develop methods for object detection, segmentation, registration, image interpretation, tracking, and quantitative image analysis across medical imaging data.
  • Work with imaging modalities relevant to image-guided therapies, such as X-ray, fluoroscopy, DSA, CT, CTA, CBCT, and related 2D/3D imaging sources.
  • Contribute to multimodal sensing and image-based localization methods that support robotic perception, device awareness, and navigation workflows.
  • Develop algorithms and software in a medical device environment, with attention to robustness, traceability, verification, and clinical relevance.
  • Contribute to uncertainty estimation, safety monitoring, failure detection, and performance characterization for AI-enabled imaging and robotic systems.
  • Partner closely with system engineering, robotics, software, clinical, regulatory, and product teams to translate algorithmic concepts into practical, production-oriented solutions.

You're the right fit if:
  • You have a Master's degree with 2+ years of experience OR a PhD in Computer Science, Biomedical Engineering, Electrical Engineering, Robotics, Artificial Intelligence, or a related field.
  • Your skills include:
    • You have strong experience in computer vision, medical image analysis, or machine learning applied to imaging data.
    • You have hands-on experience developing deep learning models using modern AI/ML frameworks, with practical knowledge of model training, evaluation, validation, and deployment.
    • You have experience with medical image processing techniques such as segmentation, registration, detection, tracking, feature extraction, or 2D/3D image analysis.
    • You are familiar with medical imaging modalities used in image-guided therapies, especially X-ray, CT, CTA, CBCT, 3D rotational angiography, or DSA. Prior experience with these modalities is highly preferred.
    • You have strong programming skills in Python. Experience with C++, software engineering best practices, CI/CD, and production-quality code is preferred.
    • You have experience, or strong interest, in uncertainty estimation, safety-bounded AI, runtime monitoring, robustness testing, or fail-safe behavior for AI-enabled systems.
    • You are comfortable working in a regulated medical device environment and can contribute to technical documentation, validation evidence, and cross-functional design discussions.
    • Publications or research experience in medical image computing, computer vision, or related venues such as MICCAI, IEEE TMI, CVPR, or similar are a plus.
  • You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.
  • You possess excellent written and verbal communication skills and are self-motivated with good organizational and time management skills as well as a strong desire to learn and adapt to new technologies and challenges.

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.
This is an office 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 improve the lives of others.
  • Learn more about our business.
  • Discover our rich and exciting history.
  • Learn more about our purpose.
  • Learn more about our culture.

Philips Transparency Details
The pay range for this position in Cambridge, MA is $129,000 to $205,000.
The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.
In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more. 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 to Cambridge, MA.
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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 including Disability/Vets and maintains a drug-free workplace.

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