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Medical Imaging Machine Learning Jobs in Massachusetts

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

... medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in ... machine learning solutions for optical coherence tomography (OCT)-based intravascular imaging ...

Abbott Laboratories

Staff AI/ML Engineer

Westford, MA · On-site

$99.30 - $198.70/hr

... medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in ... machine learning solutions for optical coherence tomography (OCT)-based intravascular imaging ...

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

... medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in ... machine learning solutions for optical coherence tomography (OCT)-based intravascular imaging ...

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

... medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in ... machine learning solutions for optical coherence tomography (OCT)-based intravascular imaging ...

Cleerly

Sr. ML Scientist

Boston, MA · On-site

Conduct rigorous analysis and validation of machine learning algorithms and prototypes. * Explore novel methods for processing and analyzing large, complex medical imaging datasets. * Collaborate ...

Gentuity

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

... machine learning teams, system engineers and external clinical collaborators. Requirements: Interest in artificial intelligence, image processing, medical imaging devices, and neurovascular or ...

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Medical Imaging Machine Learning information

See Massachusetts salary details

$24.1K

$98.2K

$207K

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

As of Aug 30, 2026, the average yearly pay for medical imaging machine learning in Massachusetts is $98,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,983.00 and $141,606.00 per year, depending on experience, location, and employer.

What is a medical imaging machine learning?

A Medical Imaging Machine Learning job involves developing and applying artificial intelligence (AI) techniques to analyze medical images, such as X-rays, MRIs, and CT scans. Professionals in this field use machine learning models to assist in disease detection, diagnosis, and treatment planning. They work with large medical datasets, optimize deep learning models, and collaborate with radiologists and healthcare professionals to improve diagnostic accuracy and efficiency. The role requires expertise in machine learning, computer vision, and medical imaging technologies.

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

To excel in Medical Imaging Machine Learning, a solid background in computer science, machine learning, and image processing, often supported by an advanced degree (MS or PhD) in a related field, is essential. Experience with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and familiarity with medical imaging standards (like DICOM) are commonly required. Strong analytical thinking, problem-solving abilities, and the ability to communicate complex technical concepts to multidisciplinary teams are highly valued. These competencies enable professionals to develop and implement effective AI solutions that enhance diagnostic accuracy and workflow efficiency in healthcare settings.

What types of teams do medical imaging machine learning professionals typically work with, and how is collaboration structured?

Medical Imaging Machine Learning specialists often collaborate closely with radiologists, data scientists, software engineers, and clinical researchers to develop and refine AI-driven diagnostic tools. The work environment is usually multidisciplinary, involving regular meetings, code reviews, and joint problem-solving sessions to ensure alignment between technical solutions and clinical needs. Team members may also work with regulatory experts to ensure compliance with healthcare standards. This collaborative approach ensures that models are both technically robust and clinically relevant, ultimately supporting better patient outcomes.

What are the most commonly searched types of Medical Imaging Machine Learning jobs in Massachusetts?

The most popular types of Medical Imaging Machine Learning jobs in Massachusetts are:

What are popular job titles related to Medical Imaging Machine Learning jobs in Massachusetts?

For Medical Imaging Machine Learning jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Medical Imaging Machine Learning jobs in Massachusetts look for?

The top searched job categories for Medical Imaging Machine Learning jobs in Massachusetts are:

What cities in Massachusetts are hiring for Medical Imaging Machine Learning jobs?

Cities in Massachusetts with the most Medical Imaging Machine Learning job openings:

Medical Imaging Machine Learning jobs near you
Infographic showing various Medical Imaging Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $98,190 per year, or $47.2 per hour.

AI Engineer - Medical Imaging & Surgical Robotics

Cambridge, MA • On-site

Philips
Software Development • 10K+ employees

8.3

Company rating: 8.3 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

36th of 159 rated electronics manufacturers

Good employer

Recommended by students

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Learn more about Philipsexternal

$129K - $205K/yr

Full-time

Retirement, PTO

Posted 9 days ago

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.
#LI-PH1
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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