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Live In Medical Image Deep Learning Jobs (NOW HIRING)

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 ...

PlusAI

Deep Learning Intern

Santa Clara, CA · On-site

$19 - $65/hr

Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by ... Develop and benchmark cutting-edge techniques in deep learning. * Collaborate with team members to ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA

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 ...

Seven Research

Deep Learning Researcher

Manhattan, 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 ...

Rebar

Senior Deep Learning Engineer

New York, NY · On-site

$114K - $157K/yr

... image to graph, and other related tasks. In some cases, you'll extend or adapt existing ... Comprehensive medical, dental, and vision coverage * Perks : Free lunches and dinners provided This ...

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Live In Medical Image Deep Learning information

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

As of Jun 4, 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:
What states have the most Live In Medical Image Deep Learning jobs? 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 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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