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Biomedical Machine Learning Jobs in California (NOW HIRING)

Apple

Machine Learning Engineer

San Diego, CA · On-site

Minimum Qualifications Bachelors degree in Computer Science, Electrical Engineering, Biomedical ... Strong foundation in machine learning, statistics, signal processing, or applied mathematics for ...

Latent

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two ... Experience working with clinical, biomedical, or other regulated datasets Why Join Latent Health

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

About the Role We're seeking a talented Machine Learning Researcher to join our core R&D team. This ... D.) in Computer Science or a related domain (e.g., AI, Computational Neuroscience, Biomedical ...

Masimo Wearables

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$103K - $141K/yr

The AI/Machine Learning Engineer II will analyze data from various sources to develop computational ... to biomedical data • Experience with computer vision and/or robotics • Experience with ...

Apple

Machine Learning Engineer

San Diego, CA

$142K - $263K/yr

... Biomedical Engineering, Statistics, Applied Mathematics, or related field, or equivalent industry experience. Strong foundation in machine learning, statistics, signal processing, or applied ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA

$140K - $170K/yr

Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems * Design, train and evaluate machine learning models using large ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems * Design, train and evaluate machine learning models using large ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Experience in applying AI/ML to biomedical data * Experience with computer vision and/or robotics

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Experience in applying AI/ML to biomedical data * Experience with computer vision and/or robotics

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Biomedical Machine Learning information

What is a Biomedical Machine Learning job?

A Biomedical Machine Learning job involves developing and applying machine learning algorithms to analyze biomedical data for healthcare and research applications. Professionals in this field work with medical imaging, genomics, electronic health records, and wearable device data to improve disease diagnosis, treatment, and patient outcomes. They collaborate with researchers, clinicians, and data scientists to design predictive models and extract insights from complex biological data. This role requires expertise in machine learning, data processing, and domain-specific knowledge in healthcare or life sciences.

What does a typical day look like for someone in a Biomedical Machine Learning role?

A typical day in Biomedical Machine Learning involves cleaning and preparing biomedical datasets, developing or refining machine learning models, running experiments, and interpreting results in collaboration with domain experts such as bioinformaticians and clinicians. Professionals often participate in team meetings to discuss project goals, share insights, and adjust research directions based on feedback. The role may also involve reading scientific literature to stay current with new methodologies and contributing to academic publications or technical documentation. Working closely with both technical and healthcare-focused colleagues, you'll help translate data-driven insights into meaningful biomedical solutions that impact patient care or research outcomes.

What are the key skills and qualifications needed to thrive in the Biomedical Machine Learning position, and why are they important?

To thrive in Biomedical Machine Learning, you need a solid background in statistics, machine learning, programming (Python or R), and a strong understanding of biological or medical data, often supported by advanced degrees in computer science, biomedical engineering, or related fields. Experience with frameworks like TensorFlow, PyTorch, and familiarity with biomedical datasets is highly valued, and certifications in data science or biomedical informatics can be advantageous. Strong analytical thinking, communication skills, and the ability to collaborate with interdisciplinary teams are crucial soft skills. These competencies are vital to developing robust models that address complex healthcare challenges while ensuring scientific rigor and regulatory compliance.

What are the most commonly searched types of Biomedical Machine Learning jobs in California? The most popular types of Biomedical Machine Learning jobs in California are:
What are popular job titles related to Biomedical Machine Learning jobs in California? For Biomedical Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Biomedical Machine Learning jobs in California look for? The top searched job categories for Biomedical Machine Learning jobs in California are:
What cities in California are hiring for Biomedical Machine Learning jobs? Cities in California with the most Biomedical Machine Learning job openings:
Biomedical Machine Learning jobs near you
Infographic showing various Biomedical Machine Learning job openings in California as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Summer. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Apple

San Diego, CA • On-site

Full-time

Posted 20 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 675 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal processing, and emerging generative AI techniques. Our team has delivered impactful features including heart rate notifications, ECG, blood oxygen, sleep apnea notifications, and overnight vitals to millions of Apple Watch users.
Description
This role is ideal for an engineer who enjoys moving quickly from idea to prototype to product, creatively overcoming data limitations, and applying new tools to multi-modal sensor fusion problems in health and wellness. You will work across the full algorithm lifecycle including data strategy, modeling, evaluation, optimization, and deployment.
Minimum Qualifications
Bachelors degree in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or related field, or equivalent industry experience.
Strong foundation in machine learning, statistics, signal processing, or applied mathematics for real-world sensing problems
Experience applying modern AI techniques, including generative AI and agentic AI, to accelerate algorithm development, data generation, and performance evaluation
Proficiency in Python for algorithm development and optimization
Demonstrated ability to rapidly prototype, evaluate multiple approaches, and iterate based on experimental results
Experience owning algorithm development from early exploration through validation and integration
Preferred Qualifications
Experience developing algorithms for physiological sensing using multi-modal data
Familiarity with on-device ML frameworks or resource-constrained optimization
Experience working with incomplete, noisy, or limited datasets
Background in experimental design and statistical validation
Experience with distributed or cloud-based ML workflows
Experience accelerating development through simulation, synthetic data, or creative data augmentation approaches
Self-driven, curious engineer comfortable taking ambiguous sensing problems from concept to working solutions

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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