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Medical Imaging Machine Learning Jobs (NOW HIRING)

Apple

Machine Learning Engineer

Sunnyvale, CA

$147.40K - $272.10K/yr

Work closely with cross functional teams to build computational imaging and machine learning ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.Experience with Pytorch. MS/PhD in computer vision ...

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$22.5K

$91.5K

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

As of May 29, 2026, the average yearly pay for medical imaging machine learning in the United States is $91,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $132,000.00 per year, depending on experience, location, and employer.

What is a Medical Imaging Machine Learning job?

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 the Medical Imaging Machine Learning position, and why are they important?

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.
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Medical Imaging Machine Learning jobs near you
Infographic showing various Medical Imaging Machine Learning job openings in the United States as of May 2026, with employment types broken down into 6% As Needed, 64% Full Time, 18% Part Time, and 12% Contract. Highlights an 100% Physical job distribution, with an average salary of $91,529 per year, or $44 per hour.
Research Scientist, Ultrasound Imaging

Research Scientist, Ultrasound Imaging

Nudge

San Francisco, CA • On-site

Full-time

Posted 25 days ago

Job description

About Nudge

At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people.

To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, believe hard things are worth doing, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other.

About the role

As a research scientist focused on ultrasound imaging at Nudge, you will:

  • Develop algorithms for structural and functional ultrasound-based imaging of the brain

  • Contribute to the design of custom hardware optimized for imaging

  • Perform validation of in-silico ultrasound imaging methods with custom hardware in physical models and in vivo in both rodents and humans

  • Develop aberration correction techniques informed by ultrasound-based imaging

About you

We are looking for research scientists of all levels, regardless of your career level, you should have:

  • PhD or postdoc in physics, bioengineering, medical imaging, or similar engineering discipline

  • Expertise in ultrasound physics and metrology

  • Exceptional proficiency in full-waveform inversion imaging, functional transcranial doppler imaging, or functional ultrasound imaging

  • Machine learning experience is preferred

  • Demonstrated history of exceptional technical contribution

  • High integrity and strong professional judgement