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Temporary Medical Imaging Machine Learning Jobs in Addison, IL

The Medical Imaging Service Engineer installs, inspects, troubleshoots, repairs, calibrates, and ... machines, and supporting equipment. This position requires familiarity with various classes of ...

Senior Machine Learning Engineer

Chicago, IL ยท Remote

$165K - $225K/yr

... medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and ...

The Medical Imaging Service Engineer installs, inspects, troubleshoots, repairs, calibrates, and ... machines, and supporting equipment. This position requires familiarity with various classes of ...

Senior Machine Learning Engineer

Schaumburg, IL ยท On-site

$120K - $159K/yr

We offer medical, dental, vision, life, disability, and a 401(k) match, as well as perks that ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

Senior Machine Learning Engineer

Schaumburg, IL ยท On-site

$120K - $159K/yr

We offer medical, dental, vision, life, disability, and a 401(k) match, as well as perks that ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

Senior Machine Learning Engineer

Schaumburg, IL ยท On-site

$120K - $159K/yr

We offer medical, dental, vision, life, disability, and a 401(k) match, as well as perks that ... Our machine learning engineering team is responsible for developing infrastructure and tooling to ...

... and medical imaging platforms. This is an applied AI architecture leadership role, focused on integrating AI capabilities into production imaging solutions rather than developing machine learning ...

Senior Machine Learning Engineer

Chicago, IL ยท On-site

$107K - $147K/yr

Hyatt seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and ... Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life ...

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Temporary Medical Imaging Machine Learning information

See Addison, IL salary details

$13

$35

$68

How much do temporary medical imaging machine learning jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for temporary medical imaging machine learning in Addison, IL is $35.31, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $43.85 per hour, depending on experience, location, and employer.

What is the difference between Temporary Medical Imaging Machine Learning vs Medical Imaging Technologist?

AspectTemporary Medical Imaging Machine LearningMedical Imaging Technologist
CredentialsTypically requires knowledge of machine learning, programming, and healthcare dataRequires certification or licensing in radiologic technology
Work EnvironmentData analysis settings, research labs, healthcare IT departmentsHospitals, clinics, imaging centers
Industry UsageDeveloping AI tools for medical imaging, research projectsPerforming diagnostic imaging procedures on patients

Temporary Medical Imaging Machine Learning focuses on developing and applying AI algorithms to interpret medical images, often in research or tech settings. Medical Imaging Technologists operate imaging equipment directly on patients for diagnostic purposes. While both roles involve medical imaging, one is tech-focused on data and AI, and the other on patient care and image acquisition.

What are the most commonly searched types of Medical Imaging Machine Learning jobs in Addison, IL? The most popular types of Medical Imaging Machine Learning jobs in Addison, IL are:
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Postdoctoral Appointee - AI for Synchrotron Imaging

Postdoctoral Appointee - AI for Synchrotron Imaging

Argonne National Laboratory

Lemont, IL โ€ข On-site

$72K - $121K/yr

Full-time

Re-posted 24 days ago


Job description

Position Overview
We are seeking a Postdoctoral Appointee to join the Computational Science and Artificial Intelligence Group in the X-ray Science Division of the Advanced Photon Source (APS) at Argonne National Laboratory to advance learning-enabled imaging methods. This position offers a unique opportunity for candidates with backgrounds in electrical engineering, computer science, applied mathematics, or physics to apply their expertise to challenging problems in computational imaging, while collaborating with leading experts in physics, biology, and environmental science.
Research Context
Soil microbial communities play a fundamental role in carbon and nutrient cycling, yet their spatial organization and interactions have remained difficult to study because of the opacity and complexity of soil. The APS at Argonne National Laboratory is a world-leading synchrotron facility recently upgraded to deliver nanometer-to-micron resolution imaging with dramatically increased X-ray flux. This makes it possible to visualize the interplay of soil structure and microbial life at scales bridging nanometers to millimeters, creating a unique opportunity to investigate how microbial communities are organized and interact within their natural environments.
Your Role
This position focuses on developing learning-enabled imaging methods to guide data collection and analyze synchrotron datasets, spanning the full experimental cycle from real-time X-ray measurements to post-experiment reconstruction:
  • Develop learning-enabled algorithms for 3D reconstruction of noisy and heterogeneous synchrotron datasets.
  • Implement adaptive acquisition strategies that guide beamline measurements in real time to increase efficiency and improve image quality.
  • Advance multimodal analysis methods that align and fuse structural, chemical, and biological signals to construct coherent models of microbial organization across scales.

Success in this role will require creativity in computational imaging, machine learning, and signal processing, as well as close collaboration with experts in computational science, electrical engineering, synchrotron physics, soil microbiology, and environmental chemistry. May be required to perform other duties as assigned.
Position Requirements
  • Ph.D. completed in the past 5 years or soon-to-be completed in Electrical Engineering, Computer Science, Applied Mathematics, Physics, or a related field.
  • Strong expertise in machine learning, computational imaging, computer vision, or signal processing.
  • Proficiency in scientific programming and modern ML frameworks, with the ability to implement and debug research-grade algorithms.
  • Demonstrated ability to work on complex data analysis problems and deliver robust computational solutions.
  • Excellent communication skills and a strong interest in interdisciplinary collaboration.
  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.
  • Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory.

Preferred Knowledge, Skills, and Experience
  • Experience with synchrotron or tomographic imaging datasets.
  • Background in inverse problems or physics-informed machine learning.
  • Exposure to scientific imaging applications (for example, biological, environmental, or materials science).

Job Family
Postdoctoral
Job Profile
Postdoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time
The expected hiring range for this position is $72,879.00-$121,465.00.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.