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Healthcare Machine Learning Jobs in California (NOW HIRING)

Qubeaxis

Machine Learning Engineer

San Francisco, CA · On-site

$130 - $180/hr

  • Medical

  • Dental

  • Vision

  • PTO

Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML ... Health, dental, and vision insurance fully covered for employee + dependants. * $3,000 annual ...

Jobs for Humanity

Machine Learning Engineers

San Jose, CA · On-site

$136K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Tiktok Machine Learning Engineer (Search) - E-commerce - San JoseSan JoseRegularR DJob ID: A162279 ... In addition to Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and ... • You care about understanding how models work internally and using that to make them more ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

$109K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and ... Own small to medium components of machine learning systems from technical designthrough ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and ... Own small to medium components of machine learning systems from technical designthrough ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

The Machine Learning Engineer will play a central role in building the core technology for training ... • You care about understanding how models work internally and using that to make them more ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and ... • You care about understanding how models work internally and using that to make them more ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking a Machine Learning Engineer to contribute to the development of tools and ... • You care about understanding how models work internally and using that to make them more ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and ... • You care about understanding how models work internally and using that to make them more ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

  • Medical

  • Retirement

  • PTO

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who ... Flexible Spending Account (FSA) - set aside pre-tax dollars for eligible healthcare expenses. Watch ...

Jobzhr

Machine Learning Engineer, Drive

San Francisco, CA · On-site

$204 - $299/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Drive Machine Learning team builds the prediction and intelligence systems that power this ... healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to ...

Unitytech

Director, Machine Learning - User Value

Mountain View, CA · On-site +1

$250K - $325K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We are seeking a visionary Director of Machine Learning to lead our User Value team, a group at the ... Unity also enables teams across industries like automotive, manufacturing, and healthcare to design ...

Jobzhr

Machine Learning Engineer, Drive

Sunnyvale, CA · On-site

$168 - $247/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Drive Machine Learning team builds the prediction and intelligence systems that power this ... healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to ...

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Showing results 21-40

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.

Founding AI/Machine Learning Engineer

TriFetch

San Francisco, CA • On-site

Full-time

Re-posted 15 days ago

Job description

Job Summary:
TriFetch is a company focused on AI and machine learning solutions, and they are seeking a Founding AI/Machine Learning Engineer. The role involves architecting post-training stacks, leveraging proprietary data for model fine-tuning, and collaborating with co-founders to define the research roadmap.
Responsibilities:
• Architect the Post-Training Stack: Lead the design and execution of alignment pipelines (SFT, RLHF, RLAIF) that bridge the gap between "exam-passing" models and "clinically useful" systems.
• Leverage Proprietary Data: Utilize our proprietary and open source medical datasets to fine-tune models on edge cases that generic models miss.
• Novel Technique Experimentation: Research and implement cutting-edge post-training methods to optimize model performance, aiming for improvements in calibration and reliability critical for healthcare.
• Safety & Evaluation: Build rigorous evaluation frameworks (LLM-as-a-judge, benchmarks) to detect hallucinations, ensure clinical correctness, and guarantee safety before deployment.
• Strategic Collaboration: Work directly with the co-founders to define the research roadmap and platform strategy.
Qualifications:
Required:
• Hands-on experience with post-training models for specific applications (SFT, RLHF, RLAIF, Reward Modeling, Knowledge Distillation, etc)
• Deep understanding of Transformer architectures (attention mechanisms, positional encodings) and ML systems
• Experience with distributed training frameworks and optimizing training jobs on GPU clusters
• You thrive in ambiguous environments, learn quickly, and have a bias toward action
• Proficiency in Python, PyTorch
• Familiarity with the modern open-source LLM stacks (HuggingFace, Vertex, Vercel, etc.)
Preferred:
• Healthcare experience
• Published research in high-impact journals or top-tier ML/AI conferences (NeurIPS, ICML, ICLR, CVPR, ACL)
• Background working or interning at top research labs (e.g., FAIR, DeepMind, OpenAI, Google DM, MSR, Stanford/CMU/MIT labs)
• Experience dealing with multimodal health data, clinical reasoning, or safety-critical ML systems
• You have founded a company, built early-stage products, or enjoy the 'zero-to-one' phase of building
Company:
TriFetch is a San Francisco-based healthcare AI startup focused on bridging AI foundations with practical healthcare applications. Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.

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