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Remote Medical Image Deep Learning Jobs (NOW HIRING)

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 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 ...

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 ...

Beacon Biosignals

Senior Algorithm Engineer

Boston, MA · Remote

$170K - $190K/yr

This is a fully remote role. What success looks like * Participate in and lead the entire biosignal ... Enhance our internal deep learning and machine learning tools to boost team efficiency, introduce ...

Natera

Machine Learning Scientist, Multimodal AI

$124K - $171K/yr

This role develops and deploys deep learning models across digital pathology, genomics ... Remote USA $124,800-$171,600 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Build andoptimizepredictive and generative models (e.g., deep learning, probabilistic models ...

Beacon Biosignals

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

Enhance our internal deep learning and machine learning tools to boost team efficiency, introduce ... You are familiar with biosignals, medical imaging data, or large time-series datasets, or are ...

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Remote Medical Image Deep Learning information

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$17

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$23

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

As of Aug 8, 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 August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $44,724 per year, or $21.5 per hour.

Artificial Intelligence Software Engineer

10xTalents

Manhattan, NY • On-site, Remote

Full-time

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

Job description

Artificial Intelligence Software Engineer About the job Artificial Intelligence Software Engineer Artificial Intelligence Software Engineer - Hybrid/Remote - NYC No visa sponsorship available at this time. Our client an up and coming innovative AI start-up is seeking a highly skilled and innovative Artificial Intelligence Software Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and implementing AI algorithms and software solutions to solve complex problems across various domains. The ideal candidate will have a strong background in machine learning, deep learning, and software development, with a passion for pushing the boundaries of AI technology. Responsibilities: Collaborate with cross-functional teams to understand project requirements and develop AI-driven solutions tailored to specific applications. Design and implement machine learning algorithms and models for tasks such as classification, regression, clustering, and natural language processing. Develop and optimize neural networks and deep learning architectures for tasks such as image recognition, speech recognition, and recommendation systems. Collect, preprocess, and analyze large datasets to train and evaluate AI models, ensuring robust performance and generalization. Implement scalable and efficient software solutions for deploying AI models in production environments, including cloud-based platforms and edge devices. Collaborate with software engineers to integrate AI capabilities into existing software systems and develop AI-driven features and products. Research and evaluate emerging technologies and techniques in machine learning and AI, staying abreast of advancements in algorithms, frameworks, and tools. Document design specifications, implementation details, and best practices for internal and external stakeholders. Provide technical guidance and mentorship to junior engineers and contribute to the overall technical expertise of the team. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, or related field. Master's or Ph.D. preferred. Proven experience in machine learning, deep learning, and AI software development, with a minimum of 3 years in a relevant role. Proficiency in programming languages such as Python, Java, or C++, and experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn. Strong understanding of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning. Experience with deep learning techniques and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models. Familiarity with software engineering best practices, including version control, testing, and code review. Excellent problem-solving skills and the ability to analyze complex technical challenges and propose innovative solutions. Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. #J-18808-Ljbffr

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