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Medical Imaging Machine Learning Jobs in Boston, MA

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 ...

PaxeraHealth

Data Science Developer

Newton, MA · Remote

Develop and apply machine learning algorithms to improve diagnosis accuracy and reduce false ... Keep up-to-date with the latest trends and technologies in the field of medical imaging and data ...

S&P Global

Machine Learning Engineer II

Cambridge, MA · On-site

With expertise in machine learning, natural language processing, and data discovery, we develop and ... Medical, Dental, and Vision insurance * 100% company paid premiums * Unlimited Paid Time Off * 26 ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of ... AI offer a robust benefits package, including many options from medical insurance with 80% company ...

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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 11, 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.

Staff Machine Learning Engineer

Boston, MA • On-site

AVID Technical Resources
IT Services • 201 - 500 employees
Learn more about AVID Technical Resourcesexternal

Full-time

Posted 29 days ago

Job description

Overview
We are partnering with a fast-growing healthcare technology company at the forefront of AI-driven medical innovation. With strong clinical validation, regulatory progress, and real-world adoption, the organization is advancing how medical imaging is used to predict disease risk and enable earlier, more proactive care.
This is a high-impact, senior technical role focused on developing next-generation machine learning models for medical imaging. You will play a key role in shaping the company's ML strategy, advancing core algorithms, and setting best practices for model development in a regulated environment.
What You'll Do
  • Lead the research and development of state-of-the-art deep learning models for medical imaging applications
  • Design and implement scalable training pipelines for large-scale imaging datasets
  • Drive model performance through experimentation, architecture innovation, and rigorous evaluation frameworks
  • Translate clinical and scientific requirements into production-ready ML solutions
  • Collaborate cross-functionally with data scientists, engineers, and clinical stakeholders
  • Mentor and provide technical leadership to ML engineers and data scientists
  • Partner with infrastructure teams to optimize GPU utilization, training efficiency, and deployment workflows
  • Contribute to scientific publications and support intellectual property development
What You Bring
Required
  • PhD with 4+ years of industry experience, or Master's with 7+ years in Machine Learning, AI, or a related field
  • Deep expertise in machine learning and self-supervised learning methods
  • Strong programming skills in Python and PyTorch
  • Experience building and scaling ML systems in cloud environments (AWS preferred)
  • Hands-on experience with medical imaging data (DICOM) and preprocessing pipelines
  • Proven track record of developing and deploying ML models in healthcare, biotech, or other regulated industries
  • Strong communication skills and ability to collaborate across technical and clinical teams
Preferred
  • Experience with mammography or breast imaging
  • Familiarity with FDA regulatory processes for Software as a Medical Device (SaMD)
  • Experience with ML orchestration tools (e.g., Metaflow or similar)
  • Expertise in distributed training (multi-GPU/multi-node) and performance optimization
  • Publications in leading ML or medical imaging conferences (e.g., NeurIPS, ICML, MICCAI)
  • Experience with foundation models, transfer learning, or domain adaptation in medical imaging

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