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Entry Level Medical Imaging Machine Learning Jobs

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 ...

AdvancedPCB

Be Seen First

Entry Level Machine Operator

Aurora, CO · On-site

$18/hr

Entry Level Machine Operator Aurora, CO Description Entry Level Production AdvancedPCB was founded ... Open Positions: - Plating - Mechanical/CNC Drill Operator - Imaging Machine Operator - Electrical ...

AdvancedPCB

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Entry Level Machine Operator

Maple Grove, MN · On-site

$20 - $22/hr

Entry Level Machine Operator Maple Grove, MN Description Entry Level Production AdvancedPCB was ... Open Positions: - Plating - Mechanical/CNC Drill Operator - Imaging Machine Operator - Electrical ...

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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Entry Level Medical Imaging Machine Learning information

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

As of Aug 30, 2026, the average hourly pay for entry level medical imaging machine learning in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

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

AspectEntry Level Medical Imaging Machine LearningEntry Level Medical Imaging Technologist
Required CredentialsBasic understanding of machine learning, programming skills, relevant certifications in AI or data scienceCertification in radiologic technology, ARRT certification, associate degree in radiologic technology
Work EnvironmentResearch labs, healthcare tech companies, hospitals focusing on AI integrationHospitals, clinics, imaging centers performing diagnostic scans
Employer & Industry UsageTech companies, healthcare startups, research institutionsHospitals, diagnostic imaging centers, outpatient clinics

Entry Level Medical Imaging Machine Learning roles focus on developing and applying AI algorithms to improve imaging diagnostics, requiring programming and data analysis skills. In contrast, Entry Level Medical Imaging Technologists operate imaging equipment directly to produce diagnostic images, requiring radiologic technology certifications. Both roles are essential in healthcare but differ significantly in skills, environment, and responsibilities.

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What are the most commonly searched types of Medical Imaging Machine Learning jobs?

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Entry Level Medical Imaging Machine Learning jobs near you
Infographic showing various Entry Level Medical Imaging Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.

Imaging Machine Learning Engineer

Google Inc.

Mountain View, CA • On-site

$136 - $186/hr

Other

Posted 18 days ago

Google rating

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

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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