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Medical Image Deep Learning Jobs (NOW HIRING)

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

... in medical scans, disease risk stratification, image synthesis, text report mining, and more! We ... Develop deep learning models for prototyping and production purposes according to product feature ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA

... in medical scans, disease risk stratification, image synthesis, text report mining, and more! We ... Develop deep learning models for prototyping and production purposes according to product feature ...

NUC S.A.I.

Machine Learning Scientist

Boston, MA · On-site +1

... image analysis (CNNs, transformers, U-Nets, etc.) * Strong programming skills in Python and deep learning frameworks (PyTorch preferred) * Experience working with medical imaging data (PET/CT, MRI ...

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Medical Image Deep Learning information

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

As of Jun 4, 2026, the average yearly pay for 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 a Medical Image Deep Learning job?

A Medical Image Deep Learning job involves developing AI models that analyze medical images, such as X-rays, MRIs, and CT scans, to assist in disease detection, diagnosis, and treatment planning. Professionals in this field apply deep learning techniques like convolutional neural networks (CNNs) to extract meaningful patterns from medical images. They work closely with healthcare professionals to ensure models are accurate, reliable, and interpretable for clinical use.

What are the key skills and qualifications needed to thrive in the Medical Image Deep Learning position, and why are they important?

To thrive in Medical Image Deep Learning, a strong background in computer science, machine learning, and medical imaging, typically supported by an advanced degree (MS/PhD) in a relevant field, is essential. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, experience with medical image formats (DICOM, NIfTI), and knowledge of regulatory guidelines are often required. Strong analytical thinking, problem-solving skills, and the ability to work collaboratively with multidisciplinary healthcare teams are valued soft skills. These qualifications are crucial for developing accurate, reliable AI models that can positively impact patient care and diagnostic workflows.

What does a typical day look like for someone working in Medical Image Deep Learning?

A typical day in Medical Image Deep Learning often involves designing, implementing, and testing deep learning algorithms on various medical imaging datasets, such as MRI or CT scans. Professionals regularly collaborate with radiologists, data scientists, and software engineers to refine models and ensure clinical relevance. Routine responsibilities include data preprocessing, model tuning, result interpretation, and thorough documentation of findings. Additionally, team members may participate in research meetings, code reviews, and contribute to publishing scientific results or developing new features for healthcare applications.
More about Medical Image Deep Learning jobs
What are the most commonly searched types of Medical Image Deep Learning jobs? The most popular types of Medical Image Deep Learning jobs are:
What states have the most Medical Image Deep Learning jobs? States with the most job openings for Medical Image Deep Learning jobs include:
What job categories do people searching Medical Image Deep Learning jobs look for? The top searched job categories for Medical Image Deep Learning jobs are:
Medical Image Deep Learning jobs near you
Infographic showing various Medical Image Deep Learning job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, 2% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $45,043 per year, or $21.7 per hour.

Deep Learning Software Engineer

Black Canyon Consulting LLC

Bethesda, MD • On-site

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Deep Learning Software Engineer

Bethesda, Maryland

Overview

We are seeking a Deep Learning Software Developer to support projects at the Applied Clinical Informatics Branch (ACIB), Lister Hill National Center for Biomedical Communications (LHNCBC), National Library of Medicine (NLM), National Institutes of Health (NIH). 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.

Key Responsibilities
  • 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 organ-transplant and COVID-19 patient data.
  • Build and optimize deep learning tools for deployment on Android/iOS/Web-based platforms.
Required Skills and Experience
  • Ph.D. in a relevant field, or M.S. with 3+ years, or B.S. with 5+ years of relevant experience in image analysis and deep learning.
  • 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 is a plus.
Required Professional and Personal Qualities
  • Strong organizational and time management skills, with flexibility to adapt to shifting priorities.
  • Ability to write clean, efficient, and well-documented code.
  • Excellent interpersonal skills, with the ability to both collaborate and work independently.
  • Strong oral and written communication skills, with the ability to clearly document projects and provide regular status reports.
  • Highly detail-oriented with the ability to manage multiple tasks and deliver results in a timely manner.
Benefits and Salary

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.

We offer a competitive salary commensurate with experience and location. The targeted range for this position is $125,000 - $150,000.

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