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Live In Medical Image Deep Learning Jobs (NOW HIRING)

... 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 ...

... 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 ...

... 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 ...

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 ...

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

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 ...

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

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 ...

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

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

Carbon Robotics is the leader in physical AI for agriculture, helping farmers become more ... Fully-paid medical, dental, and vision insurance premiums for you and all dependents * Choice of ...

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 ...

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Live In Medical Image Deep Learning information

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$28K

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

As of Aug 8, 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:

Machine Learning Engineer

Intelliswift Software

South San Francisco, CA • On-site

Full-time

Re-posted 15 days ago


Job description

Job ID: 21-13833
Responsibilities
• Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.
• Work closely with Client and data engineers in end-to-end machine learning and data pipelines.
Qualifications:
• MS or PhD in a quantitative field ( e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
• Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.
• Demonstrated experience with Python and analysis of image-like data.
• Strong knowledge in supervised machine learning and semi-supervised machine learning.
• Excellent communication and collaboration skills.
Optional but preferred qualifications:
• Strong knowledge of classical image processing or computer vision.
• Good knowledge of Generative Adversarial Networks.
• Previous experience in medical image processing.
• Familiar with Pytorch lightning.
• Familiar with development tools for experiment tracking, dataset versioning, and model management in machine learning.
* This position is remote

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About Intelliswift

Sourced by ZipRecruiter

Intelliswift is consumed with the love for the new. Once a leading staffing company, Intelliswift now possesses the expertise to build data-rich modern platforms, and to create sophisticated systems for data management and analytics for thinking and connected enterprises. We are a global leader in delivering Digital Product Engineering, Data Management & Analytics, Cloud, Digital Enterprise and MSP/VMS staffing solutions. Led by a team of highly passionate and techno-centric innovators, we consciously embed the spirit of loving and embracing everything new in what we do. We ardently believe that companies that Love the New are at an advantage of being ahead of the curve in this age of digital.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2001