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Medical Image Deep Learning Jobs (NOW HIRING)

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the ... Medical, dental, and vision insurance with 100% paid premiums. * A flexible schedule that leaves ...

Rebar

Senior Deep Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Design and train deep learning models for layout analysis, OCR, object detection, image to graph ... Comprehensive medical, dental, and vision coverage * Perks : Free lunches and dinners provided This ...

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 ...

femtoAI

Audio Deep Learning Engineer

San Bruno, CA · Hybrid

About the Role As a Deep Learning Engineer, you will: * Design, develop, and deploy deep-learning ... Medical insurance * Vision insurance * Dental insurance * Commuter benefits * Disability insurance

femtoAI

Audio Deep Learning Engineer

San Bruno, CA · On-site

About the Role As a Deep Learning Engineer, you will: * Design, develop, and deploy deep-learning ... Medical insurance * Vision insurance * Dental insurance * Commuter benefits * Disability insurance

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA

$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

$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 ...

Nvidia

OR

$104K - $143K/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

Santa Clara, CA · On-site

$121K - $167K/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 ...

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 ...

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All JobsMedical Image Deep Learning Jobs

Medical Image Deep Learning information

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$28K

$45K

$58.5K

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

As of Jun 4, 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 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.

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.
More about Medical Image Deep Learning jobs
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 Medical Image Deep Learning jobs? States with the most job openings for Medical Image Deep Learning jobs include:
What job categories do people searching Medical Image Deep Learning jobs look for? The top searched job categories for Medical Image Deep Learning jobs are:
Medical Image Deep Learning jobs near you
Infographic showing various Medical Image Deep Learning job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, 2% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $45,043 per year, or $21.7 per hour.
Deep Learning Engineer

Deep Learning Engineer

Matroid

Palo Alto, CA • On-site

Other

Medical, Dental, Vision

Posted 22 days ago

Job description

About Matroid

Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and
deploy automated visual inspection on imagery including EO, IR, X-Ray, CT, OCT, and others.

Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers in manufacturing, industrial IoT, government and security.

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will be working in a fast-paced environment, surrounded by experts who are passionate about their work.

This position is onsite at our downtown Palo Alto office, located near the Stanford campus and Caltrain.

What you'll do

  • Advance the computer vision and deep learning technology powering Matroid's computer vision platform
  • Keep on top of the latest developments and research in academic CV/DL and decide how we should apply them to our real world use-cases
  • Engineer new DL capabilities end-to-end; research, experiment, iterate, develop, optimize and productionize

How you'll be doing it

  • Operating in a collaborative but highly autonomous environment where you are empowered to make an impact
  • Knowing that everything you build affects real-world users, with corresponding quality standards for your work
  • Collaborating with other DL engineers, as well as our other expert teams, including product, infrastructure, and field engineering

What you bring to the table

  • Masters in Computer Science, Software Engineering, Mathematics, or equivalent
  • Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs, or implement a video transformer model from scratch, or get realtime segmentation running on a tiny edge device, or train a massive industry-specific foundation model
  • 3+ years of industry and/or academic experience relating to software, deep learning and computer vision
  • Experience using and modifying state-of-the-art CV models and frameworks, with understanding of their theoretical underpinnings
  • Knowledge of model architectures and techniques across a broad range of domains, including object detection, segmentation, anomaly detection, object tracking, video-understanding and vision language models
  • Strong software engineering skills - you care deeply about the quality of your code
  • Solid oral, written, presentation, collaboration, and interpersonal communication skills

Bonus points if...

  • Specialization in CV, artificial intelligence, machine learning, or related fields
  • Significant computer vision & deep learning academic and/or research experience
  • Prior work experience with applied computer vision in real-world use-cases
  • Cool personal projects, competitions, hackathons, etc. demonstrating your passion & expertise
  • Previous work at high-growth technology startups

What we offer in return

  • Competitive pay and equity.
  • The chance to constantly work on stimulating intellectual challenges.
  • Gym membership reimbursement.
  • Free lunch, healthy drinks, and snacks every day.
  • Medical, dental, and vision insurance with 100% paid premiums.
  • A flexible schedule that leaves time for all of your other interests.
  • A budget for whatever hardware or software will make you most effective.
  • Regular tech talks to discuss the latest advances in CV, DL and engineering

Matroid is committed to creating a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

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