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Medical Machine Learning Jobs in California (NOW HIRING)

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 ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$200 - $250/hr

As a Machine Learning Scientist, you will develop cutting‑edge AI models to integrate and decode ... Comprehensive medical, dental, and vision insurance * Unlimited PTO * Visa sponsorship * 4% 401k ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to ... Comprehensive medical, dental, and vision insurance * Unlimited PTO * Visa sponsorship * 4% 401k ...

Zoomcar

Machine Learning Engineer

San Francisco, CA · On-site

$150 - $200/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 ...

PayJoy

Machine Learning Director

San Francisco, CA

$300K - $321K/yr

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 ... medical conditions), sexual orientation, gender identity, gender expression, age, status as a ...

PayJoy

Machine Learning Director

San Francisco, CA · On-site

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 ... medical conditions), sexual orientation, gender identity, gender expression, age, status as a ...

Superhuman

Machine Learning Engineer

San Francisco, CA · On-site

$200 - $250/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 ...

Socket.dev

Machine Learning Director

San Francisco, CA · On-site

$250/hr

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 ... medical conditions), sexual orientation, gender identity, gender expression, age, status as a ...

PayJoy, Inc

Machine Learning Director

San Francisco, CA · On-site

$250/hr

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 ... medical conditions), sexual orientation, gender identity, gender expression, age, status as a ...

PayJoy

Machine Learning Director

San Francisco, CA

$300K - $321K/yr

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 ... medical conditions), sexual orientation, gender identity, gender expression, age, status as a ...

PayJoy

Machine Learning Director

San Francisco, CA · On-site

$300K - $321K/yr

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 ... medical conditions), sexual orientation, gender identity, gender expression, age, status as a ...

StartX

Machine Learning Director

San Francisco, CA · On-site

$250/hr

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 ... medical conditions), sexual orientation, gender identity, gender expression, age, status as a ...

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Medical Machine Learning information

What is a medical machine learning?

A Medical Machine Learning job involves developing and applying AI algorithms to analyze medical data, such as imaging, electronic health records, and genomics, to improve diagnosis, treatment, and patient outcomes. Professionals in this field work with clinicians, data scientists, and engineers to create predictive models, automate medical workflows, and ensure compliance with healthcare regulations. Strong knowledge of machine learning, data processing, and healthcare-specific challenges is essential.

What types of teams do medical machine learning professionals typically collaborate with in a healthcare setting?

Medical Machine Learning professionals often work in multidisciplinary teams that include data scientists, clinicians, software engineers, and regulatory experts. Collaboration with healthcare providers is common to ensure models address real clinical needs and comply with healthcare standards. You'll typically interact closely with IT departments for data access and security, as well as with research teams and sometimes external partners. Working in such dynamic teams allows you to contribute technical expertise while gaining insights from domain experts, leading to more successful and impactful machine learning projects.

What are the key skills and qualifications needed to thrive in the medical machine learning position, and why are they important?

To thrive in Medical Machine Learning, you need a strong background in computer science, statistics, and biomedical sciences, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or PyTorch), and healthcare data management systems is crucial. Strong problem-solving abilities, collaboration skills, and the ability to communicate complex technical concepts to a diverse audience make a candidate stand out. These skills are critical for developing robust, effective machine learning solutions that can impact patient care and integrate seamlessly into clinical workflows.

What does medical machine learning do in healthcare?

Medical machine learning involves developing algorithms that analyze healthcare data to assist in diagnosis, treatment planning, and patient monitoring. Professionals in this field use tools like Python and TensorFlow to create models that improve accuracy and efficiency in medical decision-making.

What are the most commonly searched types of Medical Machine Learning jobs in California?

The most popular types of Medical Machine Learning jobs in California are:

What are popular job titles related to Medical Machine Learning jobs in California?

For Medical Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Medical Machine Learning jobs in California look for?

The top searched job categories for Medical Machine Learning jobs in California are:

Medical Machine Learning jobs near you
Infographic showing various Medical Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Machine Learning Engineer

CYNET SYSTEMS

San Jose, CA • On-site

$55 - $60/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago

Job description

Job Overview:

Pay Range: $55.00hr - $60.00hr

Requirement/Must Have:

  • 3+ years of professional experience building and deploying machine learning models in a production environment.
  • Advanced proficiency in Python and its core data science/ML libraries (e.g., PyTorch, scikit-learn, Pandas).
  • Advanced proficiency in SQL for complex data manipulation, aggregation, and analysis.
  • Demonstrable, hands-on experience in prompt engineering and/or fine-tuning Large Language Models (e.g., Gemini).
  • Hands-on experience with a major cloud provider, with a strong preference for Google Cloud Platform (GCP).
  • Solid understanding of MLOps principles and experience with related tools (e.g., Vertex AI, CI/CD).

Responsibilities:

  • Design, develop, and fine-tune Generative AI solutions using models like Google’s Gemini for tasks such as information extraction, document summarization, and report generation.
  • Architect and implement advanced Retrieval-Augmented Generation (RAG) systems to enhance model accuracy and provide verifiable, context-aware responses.
  • Research and apply emerging GenAI techniques, such as agentic frameworks, to build more autonomous and capable systems.
  • Design and deploy a wide range of ML models (classification, regression, forecasting, etc.) on Google Cloud Platform.
  • Build and maintain robust, automated MLOps pipelines for data preprocessing, feature engineering, model training, validation, and deployment using tools like Vertex AI and BigQuery.
  • Conduct deep data analysis to uncover insights, validate hypotheses, and guide feature engineering for improved model performance.
  • Partner closely with data scientists, software engineers, and other business stakeholders to frame problem statements, define technical requirements and deliver integrated AI/ML solutions.
  • Champion best practices in software engineering and MLOps to ensure the quality, maintainability, and scalability of machine learning systems.
  • Continuously evaluate and stay current with the latest advancements in the ML and GenAI landscape.

Nice to Have:

  • Master’s or PhD in a relevant field.
  • Specific experience with GCP services like Vertex AI, BigQuery, Google Cloud Storage, and GKE.
  • Experience building RAG systems from the ground up.
  • Proven ability to lead technical projects and mentor other engineers.

Skills:

  • Python.
  • PyTorch.
  • scikit-learn.
  • Pandas.
  • SQL.
  • Generative AI.
  • Gemini.
  • Google Cloud Platform (GCP).
  • Vertex AI.
  • BigQuery.
  • MLOps.
  • RAG systems.

Qualification And Education:

  • Bachelor’s degree in Computer Science, Data Science, Statistics, or a related quantitative field.

Benefits:

Our Benefits Include:

  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.


About Cynet Systems


Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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