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Medical Image Processing Jobs in California (NOW HIRING)

Rylo

Senior Camera Image Quality Engineer

San Francisco, CA · On-site

$104K - $141K/yr

The ideal candidate will be knowledgeable in a variety of areas including optics, image processing ... Medical, dental, and vision insurance * Easy access to snacks and drinks We may use artificial ...

Rylo

Senior Camera Image Quality Engineer

San Francisco, CA

$104K - $141K/yr

The ideal candidate will be knowledgeable in a variety of areas including optics, image processing ... Medical, dental, and vision insurance * Easy access to snacks and drinks We may use artificial ...

ZEISS

Senior Image Quality Engineer

Dublin, CA · On-site

$140K - $175K/yr

Degree and experience should be within field of X-ray, CT, microscopy, or medical imaging. * Understands a wide range of Internal and 3rd party reconstruction, image processing, and 3D visualization ...

ZEISS

Senior Image Quality Engineer

Dublin, CA

$140K - $175K/yr

Degree and experience should be within field of X-ray, CT, microscopy, or medical imaging. * Understands a wide range of Internal and 3rd party reconstruction, image processing, and 3D visualization ...

Apple

Camera Algorithms Engineer

Cupertino, CA

$150K - $277K/yr

Deep understanding and appreciation of sensor characteristics, optics, and image signal processing ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

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Medical Image Processing information

What medical imaging job pays the most?

Radiologists, especially those specializing in diagnostic imaging, tend to have the highest salaries in medical image processing roles, often exceeding $400,000 annually. Advanced skills in MRI, CT, and ultrasound imaging, along with board certification, contribute to higher compensation.

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.

Is image processing a good career?

Medical image processing is a specialized field that involves analyzing and enhancing medical images using techniques like machine learning and software tools such as MATLAB or Python. It offers opportunities in healthcare, research, and technology sectors, often requiring knowledge of medical imaging modalities and relevant certifications. The career can be stable and rewarding for those with technical skills and an interest in healthcare applications.

Is medical imaging a good career path?

Medical image processing is a growing field that involves analyzing and interpreting medical images such as MRI, CT, and X-rays, often requiring skills in computer science, imaging software, and medical knowledge. It offers opportunities in healthcare, research, and technology sectors with increasing demand for specialists who can develop and improve imaging techniques. Job prospects are strong for those with relevant technical skills and certifications in medical imaging or related fields.

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 is image processing in the medical field?

Medical image processing involves analyzing and enhancing images such as X-rays, MRIs, and CT scans to assist in diagnosis and treatment. Professionals in this field use specialized software and techniques like filtering, segmentation, and 3D reconstruction to improve image clarity and extract relevant information.

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
Infographic showing various Medical Image Processing job openings in California as of July 2026, with employment types broken down into 76% Full Time, 12% Part Time, 6% Temporary, 4% Contract, and 2% Nights. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution.
Senior Camera Image Quality Engineer

Senior Camera Image Quality Engineer

Rylo

San Francisco, CA • On-site

$104K - $141K/yr

Full-time

Medical, Dental, Vision

Posted 25 days ago

Job description

Rylo is a powerful camera that captures everything around you and creates exceptionally smooth, beautiful video that's easy to share. Developed by a team of former Instagram and Apple engineers, Rylo's breakthrough stabilization software and smartphone app eliminate the traditional pain points of shooting, editing, and sharing videos. With Rylo, you don't have to worry about framing your shot or holding the camera steady to capture a video you're proud to share - simply hit record and make the perfect video after-the-fact.
See Rylo in action
Rylo is seeking a Senior Camera Image Quality Engineer to join the team in the development of next-generation consumer video cameras. Key responsibilities for this position include definition of image quality requirements, review of lens designs, development of imaging test and characterization methods, and modeling of the entire imaging system from capture to display. The ideal candidate will be knowledgeable in a variety of areas including optics, image processing, image sensors, manufacturing test, and modeling of imaging systems.
What you'll work on:
  • Define image quality requirements and implement test capabilities in lab and manufacturing environments for lens components and full camera systems
  • Review lens design for a compact, high-quality, wide field-of-view lens and drive development at vendor
  • Develop an end-to-end model of the Rylo imaging system from scene capture through to viewing of content in various consumption formats
  • Document lens design and delivery specifications as well as final system level image quality specifications
  • Tune ISP and imaging pipeline for optimal image quality
  • Collaborate with our algorithms team on calibration strategies for improving the Rylo image processing pipeline
  • Failure mode analysis and troubleshooting of undesirable image aberrations and artifacts

Who we're looking for:
  • You have 3+ years in an imaging systems role
  • You are highly proficient at data analysis and image processing using Matlab or equivalent
  • You are proficient with lens design tools such as Zemax and FRED
  • You have a strong understanding of ISP pipelines and auto-exposure/auto-white balance algorithms
  • You have a strong understanding of image quality metrics for digital imaging systems
  • You have a strong background in optics and image sensor technologies
  • You have excellent written and verbal communication, including drafting engineering specifications and documentation
  • You are familiar with manufacturing processes for opto-electronics devices
  • You have experience with 3D CAD tools a plus
  • You have a BS/MS in EE, optics, or equivalent

Why you want to join us:
  • We're backed by Accel, Sequoia and Icon Ventures
  • You'll work with and learn from a highly cross-functional hardware and software engineering team. Spanning software across the full stack.
  • Just a year and a half after founding Rylo, we shipped our first camera on time and with a team of only 18. We love what we do and work hard to do it.
  • Since launching in November 2017, we've expanded distribution to some of the top retailers, such as Amazon and Best Buy.
  • We value: ownership, a thoughtful approach to problem solving, transparency, candor, and a willingness to learn and teach.
  • You'll help us build the future of cameras so that anyone can easily capture, edit, and share their favorite memories with the world.

Benefits and perks:
  • Your very own Rylo camera on your first day!
  • Join our team lunches, happy hours, and off-sites
  • Meaningful equity
  • Flexible work schedule
  • Medical, dental, and vision insurance
  • Easy access to snacks and drinks

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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