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Live In Medical Image Deep Learning Jobs (NOW HIRING)

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

Lead the design and execution of experiments to develop and validate novel deep learning architectures for computer vision in agricultural environments * Own model optimization and deployment ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

Responsibilities : • Lead the design and execution of experiments to develop and validate novel deep learning architectures for computer vision in agricultural environments • Own model ...

Seven Research

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

PhD degree in computer science or a related field * Mastery of deep learning techniques and proven ... track record of building sophisticated predictive models using deep learning * Publications in ...

Occulytics Inc.

Deep Learning Engineer

Required : • 3+ years of hands-on experience developing and deploying deep learning models in production environments. • Strong portfolio of ML projects demonstrating technical depth and ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers ... Medical, dental, and vision insurance with 100% paid premiums. * A flexible schedule that leaves ...

femtoAI

Audio Deep Learning Engineer

San Bruno, CA · On-site

... in a fast-paced, innovative environment. Desired Skills and Experience Deep learning, Machine learning, DSP, Python, PyTorch Benefits * 401(k) * Medical insurance * Vision insurance * Dental ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

D. candidate in CS, Robotics, or a related field, specifically focusing on Deep Learning, Computer Vision, Robotics, or related fields. * Technical Stack: Proficient in Python and PyTorch with clean ...

Nvidia

Deep Learning Compiler Engineer

Redmond, WA · On-site

NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image ...

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Live In Medical Image Deep Learning information

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$28K

$45K

$58.5K

How much do live in medical image deep learning jobs pay per year?

As of Aug 28, 2026, the average yearly pay for live in medical image deep learning in the United States is $45,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $48,500.00 per year, depending on experience, location, and employer.

What is the difference between Live In Medical Image Deep Learning vs Medical Imaging Specialist?

AspectLive In Medical Image Deep LearningMedical Imaging Specialist
CredentialsTypically requires a degree in computer science, AI, or related fields; certifications in deep learning or medical imaging are commonRequires degrees in radiology, medical imaging technology, or related healthcare fields; certifications in imaging modalities are often needed
Work EnvironmentPrimarily research labs, AI development teams, or healthcare tech companies; involves programming and data analysisHospitals, clinics, diagnostic centers; involves operating imaging equipment and patient interaction
Industry UsageUsed in developing AI algorithms for medical image analysis, diagnostics, and researchUsed in performing and interpreting medical imaging procedures for patient diagnosis

Live In Medical Image Deep Learning focuses on developing AI models for analyzing medical images, requiring programming and data science skills. In contrast, Medical Imaging Specialists perform imaging procedures and interpret results in clinical settings. Both roles are essential in healthcare but differ in their focus and daily tasks.

What cities are hiring for Live In Medical Image Deep Learning jobs?

Cities with the most Live In Medical Image Deep Learning job openings:

What are the most commonly searched types of Medical Image Deep Learning jobs?

The most popular types of Medical Image Deep Learning jobs are:

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States with the most job openings for Live In Medical Image Deep Learning jobs include:

Live In Medical Image Deep Learning jobs near you

Deep Learning Expert/Developer (On-site)

Bethesda, MD • On-site

Ripple Effect
Business Management Consulting • 51 - 200 employees
Learn more about Ripple Effectexternal

$90K - $103K/yr

Full-time

Re-posted 3 days ago

Job description

General Information 
  • Job Code: SHR-BI-03
  • Location: NIH Campus onsite, with ad-hoc telework
  • Employee Type: Exempt, Full-Time Regular
  • Clearance: Must be able to work in the U.S. without employer sponsorship
  • Salary Range: $90,267-$103,808  (how we pay and promote)   
Position Overview 

Are you passionate about turning complex data into meaningful insights? As a Deep Learning Developer on the Ripple Effect team, you will play a pivotal role in shaping our success in this important role with the NIH! Your work will directly impact the Lister Hill Center's work. This position involves applying deep learning techniques to biomedical images and clinical data for clinical decision-making and prediction. The role focuses on the development of tools for retinal disease detection, severity classification, disease progression prediction, and more. The ideal candidate will have a strong background in deep learning, particularly for medical image analysis, and experience with high-performance computing environments.

While not an exhaustive list, the key duties for the position include: 

    • Develop deep learning models to support clinical decision-making for retinal diseases using retinal images, genomic data, and clinical records.
    • Develop algorithms for disease detection, severity classification, and longitudinal progression prediction, focusing on retinal diseases as well as other patient data.
    • Build and optimize deep learning tools for deployment on Android/iOS/Web-based platforms.
    • Other related duties as assigned.

Requirements

Minimum Qualifications  
  • Master's degree
  • 5 or more years of experience in image analysis, machine learning, and deep learning
Basic Requirements  
    • Proven experience writing manuscripts or papers for journals and conferences.
    • Extensive experience with medical image processing, data analysis, and classification techniques.
    • Expertise in developing custom deep learning workflows, including visualizing activations.
    • Strong understanding of machine learning techniques, including Support Vector Machines (SVM), Multilayer Perceptron (MLP), and Convolutional Neural Networks (CNNs).
    • Proficiency in Decision Tree algorithms such as Random Forest, XGBoost, and LightGBM.
    • Experience in statistical analysis of experimental results.
    • Familiarity with Linux and Windows environments.
    • Hands-on experience with high-performance GPU clusters and multi-GPU setups for deep learning tasks.
    • Expertise in programming with Python, Keras, and PyTorch.
    • Experience in developing Android, iOS, or web applications.
    • Must reside within a commutable distance from the NIH main campus in Bethesda, MD, and be willing to report on site on a daily basis for this role.

Skills That Set You Apart 

  • PhD in computer science, computer engineering, or relevant field
  • Familiarity with Linux and Windows environments.
  • Intermediate experience with (levels 03+) Microsoft Office productivity software and collaboration tools such as Microsoft Teams and SharePoint.  
  • Intermediate experience with workplace AI tools, including their limitations and risks, and how they can be applied to support project management tasks.    

About Ripple Effect 

Ripple Effect is a woman-owned, 200-person company of communicators, scientists, researchers, and analysts. Established in 2003, and named as one of the “Best and Brightest Companies to Work For” in 2024 and 2025 by the NABR, Ripple Effect has earned acclaim for delivering unparalleled consulting services and top-tier talent across federal, private, and non-profit sectors. 

Benefits

At Ripple Effect, we reward our employees for their contributions to our mission. Our comprehensive total rewards package includes competitive pay, exceptional benefits, and a range of programs that support your work/life balance and personalized preferences.  

Learn more about our benefits and culture here.