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Medical Imaging Machine Learning Jobs in California

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Benefits We offer excellent medical, dental, and vision coverage, alongside a strong benefits ...

Mango Inc

Computational Imaging Engineer

Los Angeles, CA · On-site

$120K - $141K/yr

... microscopy, medical imaging, or other high-resolution imaging systems • Exposure to optical ... machine learning • Familiarity with hardware/software integration Company : At Mango, we believe ...

Heartflow

Staff Data Scientist

San Francisco, CA · Hybrid

$220K - $280K/yr

AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong experience working with medical imaging data (CT and vascular imaging) is highly preferred ...

Apple Inc.

Machine Learning Engineer

Sunnyvale, CA · On-site

$150.40 - $277.60/hr

Sunnyvale, California, United States -- Machine Learning and AI Our team delivers algorithms that ... Additional benefits include comprehensive medical and dental coverage, retirement benefits, a range ...

Hadrian Automation

Machine Learning Engineer

Torrance, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Medical, dental, vision, and life insurance plans for employees * 401k * Relocation support may be ...

HADRIAN

Machine Learning Engineer

Torrance, CA · On-site

$250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Medical, dental, vision, and life insurance plans for employees * 401k * Relocation support may be ...

Latent

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two ... Medical history is scattered across systems that don't communicate. Physicians have minutes to ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

$109K/yr

Own small to medium components of machine learning systems from technical designthrough ... medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to ...

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Medical Imaging Machine Learning information

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$22K

$89.6K

$189K

How much do medical imaging machine learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for medical imaging machine learning in California is $89,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,148.00 and $129,258.00 per year, depending on experience, location, and employer.

What types of teams do medical imaging machine learning professionals typically work with, and how is collaboration structured?

Medical Imaging Machine Learning specialists often collaborate closely with radiologists, data scientists, software engineers, and clinical researchers to develop and refine AI-driven diagnostic tools. The work environment is usually multidisciplinary, involving regular meetings, code reviews, and joint problem-solving sessions to ensure alignment between technical solutions and clinical needs. Team members may also work with regulatory experts to ensure compliance with healthcare standards. This collaborative approach ensures that models are both technically robust and clinically relevant, ultimately supporting better patient outcomes.

What are the key skills and qualifications needed to thrive in medical imaging machine learning?

To excel in Medical Imaging Machine Learning, a solid background in computer science, machine learning, and image processing, often supported by an advanced degree (MS or PhD) in a related field, is essential. Experience with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and familiarity with medical imaging standards (like DICOM) are commonly required. Strong analytical thinking, problem-solving abilities, and the ability to communicate complex technical concepts to multidisciplinary teams are highly valued. These competencies enable professionals to develop and implement effective AI solutions that enhance diagnostic accuracy and workflow efficiency in healthcare settings.

What is a medical imaging machine learning?

A Medical Imaging Machine Learning job involves developing and applying artificial intelligence (AI) techniques to analyze medical images, such as X-rays, MRIs, and CT scans. Professionals in this field use machine learning models to assist in disease detection, diagnosis, and treatment planning. They work with large medical datasets, optimize deep learning models, and collaborate with radiologists and healthcare professionals to improve diagnostic accuracy and efficiency. The role requires expertise in machine learning, computer vision, and medical imaging technologies.

What are the most commonly searched types of Medical Imaging Machine Learning jobs in California? The most popular types of Medical Imaging Machine Learning jobs in California are:
What are popular job titles related to Medical Imaging Machine Learning jobs in California? For Medical Imaging Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Medical Imaging Machine Learning jobs in California look for? The top searched job categories for Medical Imaging Machine Learning jobs in California are:
What cities in California are hiring for Medical Imaging Machine Learning jobs? Cities in California with the most Medical Imaging Machine Learning job openings:
Medical Imaging Machine Learning jobs near you
Infographic showing various Medical Imaging Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 23% Part Time, 2% Temporary, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $89,627 per year, or $43.1 per hour.

Project Scientist - Slomka Lab - Innovation in Imaging / Department of Medicine / Division of AIM

Cedars Sinai

Los Angeles, CA • On-site

$66K - $133K/yr

Full-time

Re-posted 8 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

40th of 1,055 rated hospitals

Job description


Are you ready to be a part of breakthrough research? Take action now by applying to this great opportunity!
Cedars-Sinai offers scientists unparalleled access to ground breaking technologies, facilities, and resources for conducting research related to an impressive range of diseases and disorders, from cancer, cardiology, and digestive diseases, to genetics, genomics, neurosciences, and women's health. You can continue your career journey with us!
The Slomka Laboratory focuses on developing innovative methods for fully automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET)/computed tomography (CT) angiography imaging.
As a Project Scientist, you will work independently and in cooperation with Piotr Slomka, PhD, Director, Innovation in Imaging and Principal Investigator, as part of a medical imaging and artificial intelligence research team within the Department of Medicine, Division of Artificial Intelligence. The incumbent will make significant and creative contributions to NIH research projects. This position will lead current and future research projects related to PET image reconstruction. Highly specialized and technical expertise in scientific programming, medical imaging and machine learning methods is required to carry out designated research projects. The Project Scientist is a key member of the research team and is expected to collaborate effectively with faculty investigators, engineers and research staff to achieve project objectives.
Primary Duties and Responsibilities:
  • Develops and tests new image processing and software methods.
  • Develops and implements new research techniques, protocols and algorithms, and data analysis and interpretation including image reconstruction and deep learning techniques.
  • Participates in publications, scientific abstracts, and presentations as first author or co-author.
  • Presents research results at scientific meetings.
  • Participates in research and technical meetings and applies expertise to plan and develop new research projects and proposals.
  • Assists in the preparation of grant proposals of Senior Investigators.
  • Compiles, analyzes, interprets, and summarizes data.
  • May submit grant proposals independently, as approved by supervising Principal Investigator.
  • May lead or train Staff Research Associates and Research Fellows.

Qualifications
Education Requirements:
  • PhD in Computer Science or Biomedical Engineering or related field.

Experience and Skills:
  • Completion of postdoctoral scholar training.
  • Demonstrated significant, original or creative contributions to a research project or program.
  • Demonstrated scientific productivity in publications in peer-reviewed journals and/or grant submissions.
  • Knowledge of PI's area of research specialization.
  • Experience in medical imaging, image processing, image reconstruction, machine learning and/or computer vision.
  • Proficiency in mathematics, medical statistics, and 3D geometry.
  • Proficiency in scientific and numerical C++ or Python programming.
  • Basic system administration skills.
  • Strong analytical and problem-solving skills.
  • Excellent communication (written and verbal) skills.

Physical Demands:
Able to perform moderate lifting. Able to sit, stand and walk for prolonged periods of time. Able to read papers and online documents. Able to operate standard office equipment. Able to exercise physical ability and perspective acuity to satisfactorily perform essential job functions.
About Us
Cedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents.
About the Team
Cedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 915 licensed beds, 2,993 physicians, 4,700+ nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most.

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