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Temporary Medical Imaging Machine Learning Jobs (NOW HIRING)

Duke University

Postdoctoral Associate

Durham, NC · On-site

As a Postdoctoral Associate in Diagnostic Imaging & Machine Learning , you will join an innovative research team dedicated to advancing next-generation medical imaging technologies. Your expertise in ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

As a Postdoctoral Associate in Diagnostic Imaging & Machine Learning , you will join an innovative research team dedicated to advancing next-generation medical imaging technologies. Your expertise in ...

Ports North

NY · On-site

$120 - $180/hr

This individual will leverage large-scale medical imaging datasets to build machine learning models that identify abnormalities, prioritize critical studies, automate report generation, and enhance ...

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

As of Aug 30, 2026, the average hourly pay for temporary medical imaging machine learning in the United States is $35.24, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $43.75 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.

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Temporary Medical Imaging Machine Learning jobs near you
Infographic showing various Temporary Medical Imaging Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $73,307 per year, or $35.2 per hour.

Imaging Machine Learning Engineer

Mountain View, CA • On-site

Google Inc.
Software Development • 10K+ employees

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 246 rated software companies

Free food

Great coworkers

People enjoy working here

Learn more about Google Inc.external

$136 - $186/hr

Other

Posted 18 days ago

Job description

corporate_fare Google place Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

  • Bachelor’s degree in Electrical Engineering, Computer Science, Imaging Science, Physics, or a related field, or equivalent practical experience.
  • 2 years of experience in Image Quality, Computer Vision, or a related technical field.
  • 2 years of experience in Python and C++ for algorithm development and implementation.
Preferred qualifications:
  • Master’s degree, or PhD in a related field.
  • 3 years of professional experience in a related field.
  • Industry experience in SoC/ISP constraints, 3A tuning, or the application of Deep Learning to real-time imaging pipelines.
  • A proven track record of delivering high-quality, commercial, market-facing consumer cameras.
  • A strong track record of self-driven learning and the capability to rapidly master new technologies and domains.
  • Excellent written and verbal communication skills, with a demonstrated ability to translate technical concepts into clear, actionable insights for cross-functional partners.
About the job

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

  • Optimize image quality across the hardware and software stack, ensuring hardware capabilities are leveraged through software tuning.
  • Fine-tune 3A algorithms to ensure performance across lighting and environmental conditions.
  • Build software tools, utilizing machine learning (ML) automation to streamline image quality (IQ) tuning, testing, benchmarking, and calibration workflows.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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