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Healthcare Machine Learning Jobs in California (NOW HIRING)

Unitytech

Machine Learning Engineer

San Francisco, CA · On-site

$143K - $214K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Unity also enables teams across industries like automotive, manufacturing, and healthcare to design ...

Unitytech

Machine Learning Engineer

Mountain View, CA · On-site

$143K - $214K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Unity also enables teams across industries like automotive, manufacturing, and healthcare to design ...

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 groups: those with wealth and access, and those with physicians in their immediate family. For ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Our team enjoys excellent benefits including healthcare coverage and 401(K) employer contributions.

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Our team enjoys excellent benefits including healthcare coverage and 401(K) employer contributions.

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Our team enjoys excellent benefits including healthcare coverage and 401(K) employer contributions.

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

Wehave an opening for a Machine Learning (ML) Bioengineer to conduct research training and ... public health missions. This position will be in the Computational Engineering Division (CED ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and ... public health missions. This position will be in the Computational Engineering Division (CED ...

TEKsystems

Machine Learning Engineer

San Diego, CA · Hybrid

$70 - $95/hr

Production Machine Learning Deployments * Model Monitoring, Observability, and Optimization ... Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time ...

TEKsystems

Machine Learning Engineer

San Diego, CA · Hybrid

$70 - $95/hr

Production Machine Learning Deployments * Model Monitoring, Observability, and Optimization ... Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

$9.7K/wk

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and ... public health missions. This position will be in the Computational Engineering Division (CED ...

Reddit

Machine Learning Engineer

San Francisco, CA · On-site +1

$187K - $260K/yr

Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ... Comprehensive Healthcare Benefits and Income Replacement Programs * 401k with Employer Match

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Showing results 1-20

All JobsHealthcare Machine Learning JobsHealthcare Machine Learning Jobs in California

Healthcare Machine Learning information

See California salary details

$10.9K

$96.7K

$158.4K

How much do healthcare machine learning jobs pay per year?

As of Jul 6, 2026, the average yearly pay for healthcare machine learning in California is $96,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $21,700.00 and $157,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Healthcare Machine Learning?

Professionals in Healthcare Machine Learning often encounter challenges such as navigating complex, unstructured, or incomplete healthcare data while ensuring strict compliance with privacy regulations like HIPAA. They must also bridge the gap between technical requirements and clinical needs, collaborating closely with medical professionals who may not have a technical background. Additionally, validating and interpreting machine learning models for real-world clinical use adds another layer of complexity, as solutions must be both accurate and explainable. Overcoming these challenges requires strong technical skills, effective teamwork, and a commitment to ethical, patient-centered solutions.

What is a Healthcare Machine Learning job?

A Healthcare Machine Learning job involves developing and applying machine learning models to analyze medical data and improve healthcare outcomes. Professionals in this role work with electronic health records, medical imaging, genomics, and other healthcare data to assist in disease prediction, diagnosis, and personalized treatments. They collaborate with clinicians, data scientists, and engineers to ensure models are clinically relevant and ethically sound. Strong knowledge of machine learning, data preprocessing, and regulatory compliance (such as HIPAA) is essential.

What are the key skills and qualifications needed to thrive in the Healthcare Machine Learning position, and why are they important?

To thrive in Healthcare Machine Learning, you need strong expertise in data science, machine learning algorithms, and biomedical informatics, often supported by an advanced degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and healthcare data standards (like HL7 or FHIR) is highly beneficial, and certifications in data science or health informatics can provide an edge. Excellent problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to diverse healthcare teams are valuable soft skills. These competencies are vital for developing robust, ethically sound machine learning solutions that improve clinical decision-making and patient outcomes.

What are the most commonly searched types of Healthcare Machine Learning jobs in California? The most popular types of Healthcare Machine Learning jobs in California are:
What are popular job titles related to Healthcare Machine Learning jobs in California? For Healthcare Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Healthcare Machine Learning jobs in California look for? The top searched job categories for Healthcare Machine Learning jobs in California are:
What cities in California are hiring for Healthcare Machine Learning jobs? Cities in California with the most Healthcare Machine Learning job openings:
Healthcare Machine Learning jobs near you
Infographic showing various Healthcare Machine Learning job openings in California as of July 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 69% Full Time, 15% Part Time, 1% Temporary, and 12% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $96,716 per year, or $46.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

Intelliswift Software

South San Francisco, CA • On-site

Full-time

Posted 13 days ago

Job description

Job ID: 21-13833
Responsibilities
• Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.
• Work closely with Client and data engineers in end-to-end machine learning and data pipelines.
Qualifications:
• MS or PhD in a quantitative field ( e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
• Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.
• Demonstrated experience with Python and analysis of image-like data.
• Strong knowledge in supervised machine learning and semi-supervised machine learning.
• Excellent communication and collaboration skills.
Optional but preferred qualifications:
• Strong knowledge of classical image processing or computer vision.
• Good knowledge of Generative Adversarial Networks.
• Previous experience in medical image processing.
• Familiar with Pytorch lightning.
• Familiar with development tools for experiment tracking, dataset versioning, and model management in machine learning.
* This position is remote
Intelliswift logo

About Intelliswift

Sourced by ZipRecruiter

Intelliswift is consumed with the love for the new. Once a leading staffing company, Intelliswift now possesses the expertise to build data-rich modern platforms, and to create sophisticated systems for data management and analytics for thinking and connected enterprises. We are a global leader in delivering Digital Product Engineering, Data Management & Analytics, Cloud, Digital Enterprise and MSP/VMS staffing solutions. Led by a team of highly passionate and techno-centric innovators, we consciously embed the spirit of loving and embracing everything new in what we do. We ardently believe that companies that Love the New are at an advantage of being ahead of the curve in this age of digital.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2001

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