1

Medical Machine Learning Jobs in California (NOW HIRING)

Machine Learning Engineer - Health AIML

Cupertino, CA

$216K - $324K/yr

  • Medical

  • Dental

  • Retirement

The Health AI team is at the forefront of machine learning and health science at Apple. We are a ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy ... Our benefits are built around your needs and include paid parental leave, comprehensive medical ...

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy ... Our benefits are built around your needs and include paid parental leave, comprehensive medical ...

Machine Learning Engineer

San Francisco, CA · On-site

$180 - $260/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Machine Learning Engineer

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy ... Our benefits are built around your needs and include paid parental leave, comprehensive medical ...

Machine Learning Engineer, Level 4

Palo Alto, CA · On-site

$173 - $259/hr

  • Medical

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy ... Our benefits are built around your needs and include paid parental leave, comprehensive medical ...

Showing results 41-60

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 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:

Infographic showing various Medical Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, 2% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Machine Learning Engineer - Health AIML

Apple

Cupertino, CA

$216K - $324K/yr

Full-time

Medical, Dental, Retirement

Re-posted 13 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.
Description
In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products.
Preferred Qualifications
Ph.D. in Computer Science, Machine Learning, Bioinformatics, or a related field.
Strong background in generative models, natural language processing (NLP), and large language models (LLMs).
5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications.
Minimum Qualifications
7+ years of professional experience, either in industry or academia.
Experience leading a team and/or a proven track record of cross-functional collaboration to deliver systems with machine learning capabilities.
BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, Bioinformatics, or related fields (or equivalent qualification).
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $216,200 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976