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Medical Image Processing Jobs in California (NOW HIRING)

Apple

Camera Algorithms Engineer

Cupertino, CA · On-site

$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 is medical image processing?

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 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 are the key skills and qualifications needed to thrive in medical image processing, 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.

How to get a career in medical image processing?

To pursue a career in medical image processing, candidates typically need a bachelor's degree in fields like biomedical engineering, computer science, or medical imaging, with advanced roles often requiring a master's or Ph.D. Additionally, skills in programming, image analysis software, and understanding of medical imaging modalities such as MRI or CT are important; certifications in medical imaging or related areas can also enhance job prospects.

Is medical image processing a good career path?

Medical image processing is a specialized field within healthcare technology that involves developing algorithms and software to analyze medical images such as MRI, CT, and X-rays. It offers strong job growth, high demand for technical skills like programming and machine learning, and opportunities in hospitals, research institutions, and medical device companies. Certification and knowledge of imaging standards can enhance career prospects.

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 August 2026, with employment types broken down into 91% Full Time, 5% Part Time, 2% Contract, and 2% Nights. Highlights an 93% In-person, 5% Hybrid, and 2% Remote job distribution.

Research Scientist - Vision Foundation Models

Epsilon Health

San Francisco, CA • On-site

Full-time

Re-posted 9 days ago

Job description

About Us
We're tackling one of healthcare's most critical challenges in medical imaging and diagnostics. Our company operates at the intersection of cutting-edge AI and clinical practice, building technology that directly impacts patient outcomes. We've assembled one of the industry's most comprehensive and diverse medical imaging datasets and have a proven product-market fit with a substantial customer pipeline already in place.
Role Overview
We're seeking a Research Scientist with deep expertise in vision foundation models to join our ML Research team. You'll be at the forefront of developing and deploying state-of-the-art vision models for medical imaging applications. This role focuses on pretraining and scaling vision encoders for radiology diagnosis across X-ray, CT, and MRI, with a growing emphasis on 3D volumetric modeling. You'll work with one of the largest and most diverse medical imaging datasets in the industry, pushing the boundaries of what's possible in AI-assisted diagnosis while maintaining the rigor required for clinical deployment.
Key Responsibilities
  • Design, train, and scale vision foundation models for radiology applications across X-ray, CT, and MRI modalities, implementing self-supervised, contrastive, masked image modeling, and joint-embedding predictive (JEPA) frameworks.
  • Extend 2D pretraining recipes to volumetric CT and MR data, addressing long sequence lengths, anisotropic spacing, and multi-sequence studies.
  • Evaluate model performance rigorously across academic benchmarks, internal offline datasets, and live production data.
  • Contribute hands-on to all stages of model development including dataset curation, architecture design, distributed training, and production deployment.
  • Stay current with cutting-edge research in computer vision and medical imaging AI.
  • Drive research and technical excellence through conference publications and technical blog posts, establishing best practices for training robust medical imaging models at scale.

Qualifications
  • 6+ years of academia/industry experience in computer vision/machine learning
  • Deep expertise in training vision encoder models at scale (e.g. ViT, ConvNeXt). Strong foundation in self-supervised pretraining, including contrastive, masked image modeling, self-distillation, and JEPA-style objectives.
  • Experience training on volumetric or spatiotemporal data (video, 3D medical imaging)
  • Track record of implementing complex models from research papers and adapting them to new domains
  • Proficiency in PyTorch or JAX, with experience training models on multi-GPU/distributed systems
  • Hands-on experience with medical imaging applications, particularly radiology (X-ray, CT, MRI)
  • Strong software engineering skills and ability to write production-quality code

Preferred Qualifications
  • Publications at top-tier conferences (CVPR, ICCV/ECCV, NeurIPS, ICLR, MICCAI)
  • Experience with 3D medical image processing and retrieval tasks
  • Familiarity with CT and MR acquisition (windowing, multi-sequence protocols, voxel spacing)
  • Experience with long-context training techniques (sequence parallelism, efficient attention)
  • Knowledge of vision-language models and multimodal learning
  • Experience with model interpretability and explainability methods
  • Understanding of clinical evaluation metrics, clinical workflows, and healthcare data (DICOM, HL7, etc.)

Apply