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Medical Imaging Machine Learning Jobs in Boston, MA

Parisi Labs

Machine Learning Research Engineer

Boston, MA · On-site

$210K - $275K/yr

About The Role We are looking for a machine learning research engineer to work directly with our ... stage equity, medical, and dental benefits. Final compensation depends on level, location ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... Motional's benefits include but are not limited to medical, dental, vision, 401k with a company ...

VideaHealth

Senior Machine Learning Engineer

Boston, MA · On-site

$170K - $205K/yr

... medical-grade standards. Depending on your background, that might mean predictive and tabular ... Requirements * 4+ years building and deploying machine learning systems in production, ideally with ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... Motional's benefits include but are not limited to medical, dental, vision, 401k with a company ...

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Showing results 21-40

All JobsMedical Imaging Machine Learning JobsMedical Imaging Machine Learning Jobs in Boston, MA

Medical Imaging Machine Learning information

See Boston, MA salary details

$24.1K

$98K

$206.6K

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

As of Sep 12, 2026, the average yearly pay for medical imaging machine learning in Boston, MA is $97,982.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,890.00 and $141,306.00 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 Boston, MA?

The most popular types of Medical Imaging Machine Learning jobs in Boston, MA are:

What are popular job titles related to Medical Imaging Machine Learning jobs in Boston, MA?

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

What job categories do people searching Medical Imaging Machine Learning jobs in Boston, MA look for?

The top searched job categories for Medical Imaging Machine Learning jobs in Boston, MA are:

Medical Imaging Machine Learning jobs near you
Infographic showing various Medical Imaging Machine Learning job openings in Boston, MA as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $97,982 per year, or $47.1 per hour.

R&D Technical Lead - Advanced Software Development, ICE Imaging (Cambridge)

Cambridge, MA • On-site

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

$157K - $249K/yr

Full-time

Retirement, PTO

Re-posted 6 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 TitleR&D Technical Lead - Advanced Software Development, ICE Imaging (Cambridge)Job Description

R&D Technical Lead - Advanced Software Development, ICE Imaging (Cambridge)

The R&D Technical Lead will provide technical leadership for the Advanced Development (AD) Software workstream supporting the ICE Software Innovation Program, leading the definition, development, verification, and maturation of advanced ultrasound imaging and navigation algorithms while serving as the primary technical interface across software engineering, acoustics engineering, clinical, marketing, and program management teams.

Your role:

  • Lead the Advanced Development Software workstream, including technical strategy, roadmap, architecture, algorithm development, feasibility assessments, proof-of-concept activities, and decision-making working in close collaboration with Philips Ultrasound on image-guided intervention features to be included in a medical imaging software application.
  • Act as a Core Team member representing the AD Software workstream, ensuring technical alignment from research and prototype development, defining success criteria, and performance measures, managing risks, and influencing cross-functional planning and decision-making.
  • Mentor software engineers, scientists, and algorithm developers, fostering collaboration across geographically distributed teams and serve as the primary technical escalation point for software workstream issues.
  • Lead development, tuning, verification, and validation of advanced computer vision, image processing, and AI-enabled ultrasound algorithms.

You're the right fit if:

  • You've acquired 8+ years of experience developing medical imaging, computer vision, image processing, robotics, navigation, or AI algorithms. Experience includes leading cross-functional R&D technical projects in regulated medical device environments with demonstrated success transitioning research concepts into commercial products.
  • Your skills include Ultrasound imaging, image processing, medical image analysis, computer vision, machine learning, deep learning, navigation systems, and medical imaging workflows. Development tools experience like Visual Studio, Azure DevOps, Git, and build/DevOps tools experience like CMake, Jenkins, GitHub actions. Other skills include C++, Python, MATLAB, or equivalent technical programming environments, algorithm verification, validation, and performance evaluation. And experience working in agile software environments like SAFe, Scrum, and Kanban.
  • You have a PhD or MS in Computer Science, Biomedical Engineering, Electrical Engineering, Medical Imaging, Robotics, or related technical fields.
  • You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.

You're a technical leader who applies deep ultrasound image processing expertise to ambiguous advanced development problems, balancing technical innovation, clinical relevance, and execution discipline with the ability to influence decisions and drive alignment across teams without relying on direct authority.

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 (MA) is $157,000 to $249,000

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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