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Medical Image Processing Jobs in California (NOW HIRING)

Cesna Group

Computer Vision R&D Engineer

San Diego, CA · On-site

$100K - $200K/yr

... calibration, object detection, image processing, denoising, segmentation and metrology ... medical equipment, and more. * - Design, implement, and deploy full-stack machine vision/image ...

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Medical Image Processing information

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How much do medical image processing jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for medical image processing in California is $17.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $17.79 per hour, depending on experience, location, and employer.

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

A typical day in Medical Image Processing involves working with complex datasets from modalities like MRI, CT, or ultrasound, developing and testing algorithms to analyze or enhance images, and collaborating with clinicians to refine diagnostic tools. You may spend significant time coding, troubleshooting software, and interpreting medical images, as well as documenting your findings for clinical teams or research projects. Interaction with multidisciplinary teams—such as radiologists, researchers, and software engineers—is common, and the work is often project-driven with deadlines tied to clinical or research milestones. This dynamic environment offers continuous learning opportunities as technology and medical practices evolve.

What is a Medical Image Processing job?

A Medical Image Processing job involves developing algorithms and software to analyze, enhance, and interpret medical images from modalities like MRI, CT, and X-ray. Professionals in this field work on tasks such as image segmentation, computer-aided diagnosis, and 3D reconstruction to support medical research and clinical decision-making. They often use machine learning, deep learning, and signal processing techniques to improve healthcare diagnostics and treatment outcomes.

What are the key skills and qualifications needed to thrive in the Medical Image Processing position, and why are they important?

To excel in Medical Image Processing, you need a strong background in biomedical engineering, computer science, or a related field, with expertise in image analysis, signal processing, and machine learning. Familiarity with programming languages such as Python or MATLAB, experience with medical imaging software (like ITK, 3D Slicer, or OsiriX), and occasionally certification in relevant technologies are highly valuable. Attention to detail, strong problem-solving skills, and effective communication are important soft skills for working collaboratively with radiologists and clinicians. These abilities ensure accurate, efficient processing and interpretation of medical images, ultimately supporting better patient outcomes and advancements in healthcare.

What are the most commonly searched types of Medical Image Processing jobs in California? The most popular types of Medical Image Processing jobs in California are:
What are popular job titles related to Medical Image Processing jobs in California? For Medical Image Processing jobs in California, the most frequently searched job titles are:
What job categories do people searching Medical Image Processing jobs in California look for? The top searched job categories for Medical Image Processing jobs in California are:
Medical Image Processing jobs near you
Machine Learning Video Processing Engineer

Machine Learning Video Processing Engineer

Apple

Cupertino, CA

$126K - $190K/yr

Full-time

Medical, Dental, Retirement

Posted 24 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Want to work on cutting edge technology that keeps the customer front and center? The Video Engineering group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. As a machine learning engineer, you’ll be developing machine learning based technologies for the image and video domain. As a member of a fast-paced team, you will also have the unique and exciting opportunity to shape upcoming products that have direct customer impact and will delight and inspire millions of people every day!
Description
This role requires an independent, self-motivated, and creative engineer with deep expertise in machine learning, coupled with a strong understanding of video and image processing quality. Your primary focus will be applying cutting-edge machine learning techniques to complex image and video challenges to create customer impact across current and future Apple products. In this role, you’ll work both independently and collaboratively with team members to prototype innovative deep learning applications for video processing, presenting and demonstrating your work to cross-functional teams and leadership alike. You’ll be responsible for designing sophisticated model architectures, fine-tuning performance parameters, and implementing architectural modifications to enhance overall output quality. Working closely with the team, you’ll focus on seamlessly porting solutions across different platforms while optimizing models for memory efficiency, power consumption, and processing speed to balance quality in operating constraints. Additionally, you’ll strategically distribute computational workloads across CPU, GPU, Apple Neural Engine, and other specialized hardware components to develop robust, viable solutions.
Preferred Qualifications
Master degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.
Experience in prototyping models for edge devices through quick iterations.
Familiarity with productization flow for ML models.
Prior experience working on deep learning techniques for video processing / computer vision.
Strong fundamentals in Computer architecture.
Good written and oral interpersonal skills
Minimum Qualifications
Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a related field.
Excellent fundamentals in machine learning.
Knowledge of Video or Image processing or Computer Vision.
Solid programming skills for common ML frameworks like PyTorch or TensorFlow.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $126,800 and $190,900, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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