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Seasonal 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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Seasonal Medical Imaging Machine Learning information

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$25.5K

$42.6K

$88K

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

As of May 29, 2026, the average yearly pay for seasonal 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.

Is ML a high paying job?

Machine learning roles, including those in medical imaging, tend to offer high salaries due to the specialized skills required, such as programming, data analysis, and knowledge of AI frameworks. Compensation varies based on experience, location, and industry, but generally, ML jobs are considered well-paying compared to many other tech roles.
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Seasonal Medical Imaging Machine Learning jobs near you
Infographic showing various Seasonal Medical Imaging Machine Learning job openings in the United States as of May 2026, with employment types broken down into 31% Full Time, 63% Part Time, 3% Temporary, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $42,584 per year, or $20.5 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