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Remote Medical Image Deep Learning Jobs (NOW HIRING)

Redhat

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

Strong understanding of machine learning and deep learning fundamentals with experience in one or ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... Develop signal-processing and image-analysis algorithms using classical methods as well as modern ...

Leidos

Hyperspectral Image Scientist

Springfield, VA · On-site +1

$92K - $166K/yr

Integrate hyperspectral analytics with other GEOINT, remote sensing, and intelligence data sources ... Experience with machine learning or artificial intelligence methods applied to hyperspectral data.

Terra AI

Senior/Staff Machine Learning Researcher

By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise ... Role description In the same way image generators have shown the remarkable ability to produce a ...

Terra AI

Senior/Staff Machine Learning Engineer

$107K - $146K/yr

By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise ... Role description In the same way image generators have shown the remarkable ability to produce a ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI ...

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Remote Medical Image Deep Learning information

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How much do remote medical image deep learning jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for remote medical image deep learning in the United States is $21.50, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $22.84 per hour, depending on experience, location, and employer.

What is the difference between Remote Medical Image Deep Learning vs Remote Medical Imaging Technician?

AspectRemote Medical Image Deep LearningRemote Medical Imaging Technician
CredentialsBackground in AI, machine learning, or computer science; often requires advanced degreesCertification in radiologic technology or imaging; typically requires licensing
Work EnvironmentPrimarily remote, focused on data analysis and model developmentRemote or on-site, involved in image acquisition and processing
Industry UsageUsed in healthcare AI development, research, and diagnostics supportUsed in hospitals, clinics, and imaging centers for patient care

Remote Medical Image Deep Learning focuses on developing AI models to analyze medical images, requiring expertise in AI and data science. In contrast, Remote Medical Imaging Technicians handle image acquisition and processing, often with clinical certifications. Both roles are vital in healthcare but differ in skills, responsibilities, and work environment.

More about Remote Medical Image Deep Learning jobs
What cities are hiring for Remote Medical Image Deep Learning jobs? Cities with the most Remote 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 Remote Medical Image Deep Learning jobs? States with the most job openings for Remote Medical Image Deep Learning jobs include:
What job categories do people searching Remote Medical Image Deep Learning jobs look for? The top searched job categories for Remote Medical Image Deep Learning jobs are:
Remote Medical Image Deep Learning jobs near you
Infographic showing various Remote Medical Image Deep Learning job openings in the United States as of June 2026, with employment types broken down into 14% Full Time, 82% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $44,724 per year, or $21.5 per hour.
Senior Applied Researcher & Lead - 3D Reconstruction & Deep Learning

Senior Applied Researcher & Lead - 3D Reconstruction & Deep Learning

Geomagical Labs

Palo Alto, CA • On-site, Remote

$180K - $250K/yr

Full-time

Posted 29 days ago

Job description

Geomagical Labs is a 3D R&D Lab, in partnership with IKEA. We create magical mixed-reality experiences for hundreds of millions of users, using computer vision, neural networks, graphics, and computational photography. Last year we launched IKEA Kreativ, and we're excited for what's next!

We have an opening in our lab for a senior computer vision researcher, with 3D Reconstruction and Deep Learning expertise, to develop and improve the underlying algorithms powering our consumer products. We are looking for highly-motivated, creative, applied researchers with entrepreneurial drive, that are excited about building novel technologies and shipping them all the way to the hands of millions of customers!

Requirements

  • Ph.D. and 3+ years of experience, or Master's and 6+ years of experience, focused on 3D Computer Vision and Deep Learning.
  • Experience building Deep Learning models for 3D Vision tasks, like Depth Estimation, Room Layout Estimation, Inverse Rendering, Pose Estimation or 3D Scene Understanding.
  • Familiarity with modern methods for Novel View synthesis, like NeRFs/Gaussian Splats and Diffusion models.
  • Familiarity with classical methods for 3D Reconstruction: SfM/SLAM, Multi-view Stereo, RGB-D Fusion.
  • Expertise in ML frameworks and libraries, e.g. PyTorch.
  • Highly productive in Python. Ability to architect and implement complex systems at the micro and macro level.
  • Experience in developing technologies that got integrated into products, as well as post-launch performance tracking and shipping improvements.
  • Entrepreneurial: Adventurous, self-driven, comfortable under uncertainty, with a desire to make systems work end-to-end.
  • Innovative: with a track record of patents and/or first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, ISMAR, NeurIPS etc.
  • [Bonus] Familiarity with Computer Graphics and Computational Photography.
  • [Bonus] Comfortable with C++.

Benefits

  • Join a mission-driven R&D lab, strategically backed by an influential global brand.
  • Work in a dynamic team of computer vision, AI, computational photography, AR, graphics, and design professionals, and successful serial entrepreneurs.
  • Opportunity to publish novel and relevant research.
  • Fully remote work available to people living in the USA or Canada.
  • Headquartered in downtown Palo Alto, California --- an easy walk from restaurants, coffee shops and Caltrain commuter rail.
  • The USA base salary for this full-time position ranges from $180,000 to $250,000 determined by location, role, skill, and experience level.
  • Geomagical Labs offers a comprehensive set of benefits, and for qualifying roles, substantial incentive grants, vesting annually.

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