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Healthcare Machine Learning Jobs in California (NOW HIRING)

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

$104 - $135/hr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Support for new parents through leave and family-care programs * Office food snacks * Mental Health ...

New

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 ...

CYNET SYSTEMS

Machine Learning Engineer

San Jose, CA · On-site

$55 - $60/hr

... machine learning models in a production environment. * Advanced proficiency in Python and its core ... Health Savings Account (HSA) * Disability Insurance (Short-Term and Long-Term) * Life and AD&D ...

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 ...

Relace

Machine Learning Engineer

San Francisco, CA · On-site

If you thrive on ambitious technical problems, care about elegant systems design, and want to build ... The Role We're looking for a Machine Learning Engineer who loves getting close to the metal. This ...

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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 Sep 5, 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 1% Locum Tenens, 2% As Needed, 68% Full Time, 17% Part Time, 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

Superhuman

San Francisco, CA • On-site

$250K - $385K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 hours ago

Job description

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.
About Superhuman
Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Coda's collaborative workspaces, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here.
The Opportunity
We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you will be at the heart of our company's transformation.
  • Shape the Future of Productivity: Play a pivotal role in evolving Grammarly from a beloved writing assistant into an indispensable, AI-native productivity suite for enterprises.
  • Build a Groundbreaking AI Agent Platform: Spearhead the development of a new platform where multiple AI agents collaborate to solve complex user problems. You will be responsible for the core orchestration, routing, and planning systems.
  • Own Critical ML Systems: Develop and deploy sophisticated ML models for core product experiences, including search ranking and proactive suggestions that anticipate user needs.
  • Integrate Cutting-Edge AI: Work at the forefront of the AI landscape, building ML components that integrate with the latest and most powerful models to create magical user experiences.
  • Thrive in a High-Impact Environment: Join a foundational team where you will operate with a high degree of autonomy and product sense in a fast-paced, ambiguous environment.
  • Ship Your Work Fast: Move quickly from idea to impact. We have no red tape or endless approvals-just a focus on making meaningful contributions to a platform used by millions.

Qualifications
  • MS / PhD in Computer Science.
  • 5+ years of industry experience as a machine learning engineer or applied research scientist.
  • A deep understanding of modern algorithms and approaches to ML, NLP, and LLMs.
  • Experience building LLM-based products.
  • A deep care about the end-user experience and strives to ensure high quality.
  • Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.

We invite you to share your knowledge, experience, and goals with us to help us find the best team match for you. Tell us your superpower!
Compensation and Benefits
Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more:
  • Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
  • Disability and life insurance options
  • 401(k) and RRSP matching
  • Paid parental leave
  • 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
  • Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
  • Annual professional development budget and opportunities

Superhuman takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.
We encourage you to apply
At Superhuman, we value our differences, and we encourage all to apply-especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

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