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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

$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 · On-site

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

Matroid

Deep Learning Engineer

Palo Alto, CA

$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 ...

Matroid

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 ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA

Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington ... Fully-paid medical, dental, and vision insurance premiums for you and all dependents * Choice of ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

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

Deep Learning Engineer

Seattle, WA · On-site

$14/hr

Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington ... Fully-paid medical, dental, and vision insurance premiums for you and all dependents * Choice of ...

Imagry

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Experience and knowledge in computer vision and image processing algorithms, including classification, object detection, and/or semantic segmentation * In-depth, hands-on knowledge of deep learning ...

Hayden AI

Deep Learning Engineer

San Francisco, CA · On-site

$161K - $175K/yr

In this role, you will build, train, evaluate and deploy state of the art ML models in production ... using deep learning. * Articulate ideas both verbally and in written form culminating in clear ...

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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 Jul 18, 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.

Is ML a high paying job?

A career in machine learning, including roles like live-in medical image deep learning specialists, generally offers high salaries due to the specialized skills and demand for expertise in AI, data analysis, and programming. Salaries vary based on experience, location, and industry, but these roles are typically well-compensated compared to many other tech positions.

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 jobs use deep learning?

Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions often involve developing algorithms for image analysis, natural language processing, and predictive modeling, frequently requiring programming skills in Python and frameworks like TensorFlow or PyTorch.

What are the applications of deep learning in medical imaging?

In the role of a Live In Medical Image Deep Learning specialist, deep learning is applied to automate and improve the accuracy of medical image analysis, including tasks such as tumor detection, segmentation, and disease classification. These applications enhance diagnostic efficiency and support clinical decision-making using tools like convolutional neural networks (CNNs) and large datasets for training models. Skills in image processing, programming, and understanding of medical imaging modalities are essential for this work.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often in specialized fields like medical image deep learning. These roles usually require advanced skills in deep learning frameworks, extensive experience, and may involve leadership responsibilities or cutting-edge research. Compensation at this level reflects significant expertise and impact within the organization.
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
Machine Learning Engineer

Machine Learning Engineer

Voxelcloud

Los Angeles, CA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Job description

Company Description

Founded in 2016, VoxelCloud, Inc. is a Los Angeles-based worldwide leader in AI analysis of medical images.  Backed by Sequoia and Tencent.  We help healthcare providers make better/earlier diagnoses and related clinical decisions, improving outcomes for all.  http://www.voxelcloud.ai

Job Description

The R&D team (located in Los Angeles, CA) is involved with research and development of innovative solutions to medical imaging applications,  including disease detection/quantification in medical scans, disease risk stratification, image synthesis, text report mining,  and more! We are currently hiring both full-time and interns to join our R&D team.

Responsibilities:

  • Develop deep learning models for prototyping and production purposes according to product feature request
  • Design, implement and test model experiments using major deep learning frameworks
  • Document experiments findings and results with supporting summary statistics for peer discussion and review (Confluence)
  • Provide insights to data collection and annotation and collaborate with the data team for in-house data management and labelling
  • Write production and deployment code (dockerization), iterate deployed models for optimal performance and inference speed
  • Conduct methodology research in deep learning to drive scalable, real-time implementation
Qualifications

Basic Qualifications

  • MS degree in computer science, engineering, or mathematics
  • 2-3 years of relevant experience in building deep learning solutions for computer vision problems
  • Proficient with at least one major deep learning framework, preferably TensorFlow/Pytorch
  • Proficient in Python
  • Good CS fundamentals in data structures and algorithm
  • Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged
  • Work well in teams and communicate ideas clearly

Preferred Qualifications

  • PhD degree in computer science, engineering, or mathematics
  • 3-5 years of relevant experience in building deep learning solutions for computer vision problems
  • Hands-on experience with state-of-the-art object detection (e.g., RetinaNet, Mask RCNN, CenterNet), semantic segmentation (e.g., U-Net, deeplab), and image classification models (e.g., ResNet, DenseNet).
  • Track record of publications in CV and medical image analysis is a plus
  • Hands-on experience with model optimization (e.g., network quantization and mixed-precision training) is a plus
  • Prior experience with medial images is a plus
Additional Information

We Offer...  

  • An outstanding start-up culture; 
  • Transparent, collaborative work environment;
  • Competitive compensation
  • Excellent Medical, Dental, and Vision coverage
  • 401k, paid Vacation and Holiday

All your information will be kept confidential according to EEO guidelines.

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