ZipRecruiter

Log In

1

Healthcare Machine Learning Jobs in California (NOW HIRING)

MyOme

Machine Learning Scientist

San Francisco, CA

Description MyOme is looking for a world-class machine learning scientist to join us on our mission ... You want to learn from a team that has successfully built leading companies in healthcare (Natera ...

Superhuman

Machine Learning Engineer

San Francisco, CA · On-site

$180 - $260/hr

MS / PhD in Computer Science. * 5+ years of industry experience as a machine learning engineer or ... Excellent health care (including a wide range of medical, dental, vision, mental health, and ...

Superhuman

Machine Learning Engineer

San Francisco, CA · On-site

MS / PhD in Computer Science. * 5+ years of industry experience as a machine learning engineer or ... Excellent health care (including a wide range of medical, dental, vision, mental health, and ...

Superhuman

Machine Learning Engineer

San Francisco, CA · On-site

$250K - $385K/yr

MS / PhD in Computer Science. * 5+ years of industry experience as a machine learning engineer or ... Excellent health care (including a wide range of medical, dental, vision, mental health, and ...

Socket.dev

Machine Learning Engineer

San Jose, CA · On-site

$188 - $271/hr

Job Summary: PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA Job Duties: Design ... healthcare coverage for you and your family, and resources to create financial security and ...

PayPal

Machine Learning Engineer

San Jose, CA · On-site

$188 - $271/hr

Job Summary: PayPal, Inc. seeks Machine Learning Engineer in San Jose, CAJob Duties: Design ... healthcare coverage for you and your family, and resources to create financial security and ...

PayPal, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Job Summary: PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA Job Duties: Design ... healthcare coverage for you and your family, and resources to create financial security and ...

PayPal

Machine Learning Engineer

San Jose, CA · On-site

Job Summary: PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA Job Duties: Design ... healthcare coverage for you and your family, and resources to create financial security and ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $400K/yr

About the role We're looking for Machine Learning Engineers to help build our platform for training ... You care about understanding how models work internally and using that to make them more reliable ...

Reducto

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking a Machine Learning Engineer to train and deploy critical models for their core ... driven, and care a lot about doing great work with great people • Keep up with the latest ...

previous page

Showing results 41-60

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 Aug 17, 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 is a healthcare machine learning?

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 healthcare machine learning?

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 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 does machine learning do in healthcare?

Healthcare machine learning involves developing algorithms that analyze medical data to assist in diagnosis, treatment planning, and predicting patient outcomes. Professionals in this field use tools like Python and TensorFlow, and often require knowledge of medical terminology and data privacy regulations to improve healthcare delivery.

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 August 2026, with employment types broken down into 2% As Needed, 72% Full Time, 12% Part Time, and 14% 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 Scientist

MyOme

San Francisco, CA

Full-time

Medical, Dental, Vision, Retirement

Re-posted 17 days ago

Job description

MyOme builds methods and develops products to help families better understand their risks for inherited diseases. We aim to build the platform that enables customers to receive a lifetime of on-demand health insights from a single sample including cardiac, diabetes, and cancer risk, and response to certain medications, and to allow them to use and share these data however they choose.

Description

MyOme is looking for a world-class machine learning scientist to join us on our mission to help people maximize the value of their genomic information. You will report to the head of research and development utilizing a world-class computational R&D environment to build cutting edge models predicting disease risk from whole genome sequence data. 

Key Responsibilities

  • You will lead efforts to build machine learning models that predict disease from whole genome sequence data

  • Work with our excellent engineering team in deploying ML models that help patients get the most from their genetic data 

  • Contribute to a supportive atmosphere of collective learning and development.

  • As a well-rounded generalist, be interested in our mission and committed to its success.

Skills and Experience

  • A PhD is strongly encouraged, but If you have exceptional applied experience and  can do the work well and humbly, we want to talk 

  • Expertise in the theory and practice of building deep neural networks, preferably on large genetic datasets

  • Experience with PyTorch, JAX, TensorFlow or equivalent machine learning framework.

  • Ability to communicate complex concepts to people outside of your field

  • Ability to thrive in a nimble start-up environment with changing priorities.

  • Background in statistical genetics a plus

Why Work at MyOme?

  • You want to help people in your life and the rest of the planet by contributing to the development of cutting edge healthcare products leveraging the latest technologies and methods

  • You like the fast paced, dynamic environment of an early stage company

  • You like thinking outside the box, confronting challenges head on, working together with other smart, passionate people who will constantly challenge you

  • You want to learn from a team that has successfully built leading companies in healthcare (Natera, Invitae, Ciitizen) and have the backing of world-class investors (Sequoia Capital, Foresite Capital, Founders Fund)

  • You like companies that provide benefits for you and your family (health, dental and vision insurance, 401K), including the ability to participate in our equity plan

  • Salary range: 130k - 200k annually

MyOme logo

About MyOme

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

11 - 50 Employees

Headquarters location

Palo Alto, CA, US

Year founded

2017

View All MyOme Jobs

Apply