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Medical Image Deep Learning Jobs (NOW HIRING)

Nvidia

Senior Deep Learning Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

... image classification, speech recognition, etc. Our DLC has been the backbone of NVIDIA inference ... Analyzing deep learning networks and developing compiler optimization algorithms. * Collaborating ...

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

... image classification, speech recognition, etc. Our DLC has been the backbone of NVIDIA inference ... Analyzing deep learning networks and developing compiler optimization algorithms. * Collaborating ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

... image classification, speech recognition, etc. Our DLC has been the backbone of NVIDIA inference ... Analyzing deep learning networks and developing compiler optimization algorithms. * Collaborating ...

NBCUniversal

Deep Learning Engineer

Manhattan, NY · On-site

$160K - $175K/yr

We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets ... This position is eligible for company sponsored benefits, including medical, dental and vision ...

Toyon

Deep Learning Algorithm Developer

Goleta, CA · On-site

$120K - $200K/yr

Requirements Candidates for the Deep Learning Algorithm Developer position should have a strong ... Competitive Industry Pay * 100% Employer-Paid Medical Insurance Premium * HSA with Employer ...

Toyon

Deep Learning Algorithm Developer

Fort Collins, CO · On-site

$100K - $190K/yr

Requirements Candidates for the Deep Learning Algorithm Developer position should have a strong ... Competitive Industry Pay * 100% Employer-Paid Medical Insurance Premium * HSA with Employer ...

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All JobsMedical Image Deep Learning Jobs

Medical Image Deep Learning information

See salary details

$28K

$45K

$58.5K

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

As of Jul 14, 2026, the average yearly pay for 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 are the key skills and qualifications needed to thrive in the Medical Image Deep Learning position, and why are they important?

To thrive in Medical Image Deep Learning, a strong background in computer science, machine learning, and medical imaging, typically supported by an advanced degree (MS/PhD) in a relevant field, is essential. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, experience with medical image formats (DICOM, NIfTI), and knowledge of regulatory guidelines are often required. Strong analytical thinking, problem-solving skills, and the ability to work collaboratively with multidisciplinary healthcare teams are valued soft skills. These qualifications are crucial for developing accurate, reliable AI models that can positively impact patient care and diagnostic workflows.

What does a typical day look like for someone working in Medical Image Deep Learning?

A typical day in Medical Image Deep Learning often involves designing, implementing, and testing deep learning algorithms on various medical imaging datasets, such as MRI or CT scans. Professionals regularly collaborate with radiologists, data scientists, and software engineers to refine models and ensure clinical relevance. Routine responsibilities include data preprocessing, model tuning, result interpretation, and thorough documentation of findings. Additionally, team members may participate in research meetings, code reviews, and contribute to publishing scientific results or developing new features for healthcare applications.

What is a Medical Image Deep Learning job?

A Medical Image Deep Learning job involves developing AI models that analyze medical images, such as X-rays, MRIs, and CT scans, to assist in disease detection, diagnosis, and treatment planning. Professionals in this field apply deep learning techniques like convolutional neural networks (CNNs) to extract meaningful patterns from medical images. They work closely with healthcare professionals to ensure models are accurate, reliable, and interpretable for clinical use.

More about Medical Image Deep Learning jobs
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Medical Image Deep Learning jobs near you

Deep learning team leader - Perception

Imagry

San Jose, CA • On-site

Full-time

Re-posted 20 days ago

Job description

Position: Deep learning team leader - Perception

Position E-mail: imagry.5A.141@comeetapply.com

Location: San Jose, Ca On--Site

We are seeking an experienced and capable Deep Learning Team Leader to join our R&D team. The Team Leader will manage and guide a team of engineers focused on developing and integrating novel vision-based Perception algorithms for our autonomous driving system. In addition to leading the team, the Team Leader will work hands-on to research and implement innovative features using state-of-the-art deep learning methods.

This is a unique opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles.

Position reporting to the Perception Group Leader.

Responsibilities:

Manage and technically lead a team of deep learning engineers, overseeing technical, project management and personal aspects.

Manage Perception projects allocated to the San Jose site.

Work closely with technical leaders across the company, demonstrating flexibility and effective communication in a global, multi-time-zone environment.

Plan, guide, and lead medium to long-term projects involving multiple engineers.

See projects through from research to deployment.

Supervise complex data pipelines, from the collection stage, through annotation, to models training.

Design and optimize deep neural networks, involving innovative feature engineering.

Take an End-to End responsibility over medium to long-term projects

Devise and implement performance metrics.

Communicate, present and visualize results.

Align the algorithms with the product needs.

Work together with HR to manage local recruitment processes (engage local recruits, interview, work with HR at HQ)

Qualifications:

M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university. Ph.D. – Advantage

A proven track record of at least 2 years in managing and technically leading a team of 3 or more engineers, overseeing projects from the brainstorming stage through to successful deployment.

A proven track record of at least 5 years hands-on experience in developing deep learning algorithms.

Experience and knowledge in computer vision and image manipulation algorithms, Object Detection, Segmentation and classification.

In-depth, hands-on knowledge of deep learning fundamentals.

Hands-on experience with deep learning frameworks such as PyTorch.

Strong mathematical aptitude, with emphasis on probability, vector algebra, and geometry.

Proficiency in Python programming.

Experience in conducting long-term development and/or research projects, in either academia or industry.

Proficiency in English, both written and spoken.

Team player – fosters a positive and cooperative work environment by maintaining strong collaboration within the team and building productive relationships with other teams across the company

People management skills

Representative personality

Eligible to work in the US

Skills that are considered an advantage:

Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning

Basic Proficiency in C++.

Experience with Linux.

Source control with git.

Experience with Jira or similar task management software.


Salary- annual range: 190-210 K

PandoLogic. Keywords: Machine Learning Engineer, Location: San Jose, CA - 95192

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