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Biomedical Signal Processing Jobs in California (NOW HIRING)

Health Sensing ML Engineer

Cupertino, CA

$150K - $277K/yr

  • Medical

  • Dental

  • Retirement

PyTorch, Tensorflow Experience with health data analysis, including time-series data, sensor data, and biomedical signal processing Proven understanding of data preprocessing, feature extraction, and ...

Senior/Staff Data Scientist

Sunnyvale, CA · On-site

$184 - $200/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience and interest in biological signal processing and algorithm development for biomedical applications * Strong analytical skills, detail-oriented and collaborative * Experience with large ...

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing ...

Senior/Staff Data Scientist

Sunnyvale, CA · On-site

$184K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing ...

Principal Engineer, Algorithm - ECG

Irvine, CA · On-site

$170K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead the design and development of advanced ECG signal processing algorithms, including filtering ... Bachelor's degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, or a ...

Principal Engineer, Algorithm - ECG

Irvine, CA

$170K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead the design and development of advanced ECG signal processing algorithms, including filtering ... Bachelor's degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, or a ...

Principal Engineer, Algorithm - ECG

Irvine, CA · On-site

$170K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead the design and development of advanced ECG signal processing algorithms, including filtering ... Bachelor's degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, or a ...

Staff R&D Engineer-Algorithm

San Jose, CA · On-site

$210K - $288K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Architect robust signal processing and machine learning pipelines for physiological metrics ... Familiarity with industry best practices and academic research in digital health, biomedical ...

Staff R&D Engineer-Algorithm

San Jose, CA · On-site

$210K - $288K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... physiological signal processing, and machine learning to lead the development of advanced ... Biomedical Engineering, Computer Science, or related field. * ​Hands-on industry experiences ...

Showing results 21-40

Biomedical Signal Processing information

See California salary details

$15

$28

$38

How much do biomedical signal processing jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for biomedical signal processing in California is $28.15, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $31.78 per hour, depending on experience, location, and employer.

What is biomedical signal processing?

A Biomedical Signal Processing job involves analyzing physiological signals, such as ECG, EEG, and EMG, to extract meaningful information for medical diagnosis, treatment, and research. Professionals in this field use mathematical models, algorithms, and machine learning techniques to improve healthcare technologies. They work in hospitals, research institutions, medical device companies, and academia to develop and optimize signal processing methods for clinical applications.

What does someone working in biomedical signal processing do?

Professionals in Biomedical Signal Processing often spend their days analyzing physiological signals such as EEGs, ECGs, or EMGs, designing algorithms to interpret data, and validating systems to ensure accuracy and reliability. They collaborate closely with clinicians, researchers, and software developers to translate clinical needs into effective technical solutions. Tasks may also include testing prototypes, troubleshooting data acquisition systems, and preparing reports or research publications. This role can be a mix of independent analytical work and cross-functional teamwork, offering both technical and collaborative challenges.

What are the key skills and qualifications needed to thrive in biomedical signal processing?

To thrive in Biomedical Signal Processing, you need a solid background in biomedical engineering, signal analysis, and quantitative methods, typically supported by a relevant degree or advanced coursework. Familiarity with MATLAB, Python, LabVIEW, and signal processing toolboxes, as well as knowledge of regulatory standards like FDA or ISO, is essential. Critical thinking, attention to detail, and strong communication skills help professionals collaborate effectively with multidisciplinary teams. These competencies are crucial for developing accurate, reliable solutions that support patient care and medical research.

What job categories do people searching Biomedical Signal Processing jobs in California look for?

The top searched job categories for Biomedical Signal Processing jobs in California are:

What cities in California are hiring for Biomedical Signal Processing jobs?

Cities in California with the most Biomedical Signal Processing job openings:

Infographic showing various Biomedical Signal Processing job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $58,556 per year, or $28.2 per hour.

Health Sensing ML Engineer

Apple

Cupertino, CA

$150K - $277K/yr

Full-time

Medical, Dental, Retirement

Re-posted 5 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 Sensing team builds outstanding technologies to support our users in living their healthiest, the happiest lives by providing them with objective, accurate, and timely information about their health and well-being. As part of the larger Sensor SW & Prototyping team, we develop algorithms for a variety of health sensors, including PPG, accelerometer, ECG.
Description
In this role, you will be at the forefront of developing ML algorithms for health sensing applications and ensuring the efficient evaluation of these models to be in production at scale. You will interact closely with ML engineers, clinicians, software and hardware engineers. You will deliver solutions on time and with high quality standing up to the standards of a customer facing product.","responsibilities":"Develop and implement machine learning and deep learning models using health sensing data
Analyze large-scale health data from wearable sensors to extract significant insights
Work across the entire ML development cycle, from setting up data pipelines to model evaluation
Analyze model behavior and finding weaknesses; drive design decisions with in-depth failure analysis
Build end-to-end pipelines that prioritize rapid iterations in support for reliability of a complex multi-year projects
Work multi-functionally to bring algorithms to real-world applications; this can span a wide range of partnerships with clinical authorities and engineering specialists across HW and SW
Preferred Qualifications
Interpersonal skills; comfortable in a collaborative and ground breaking research environments
MS or PhD or equivalent experience
Minimum Qualifications
BS in Computer Science, Engineering, Information Systems, or related technical field and a minimum of 3 years of equivalent experience
Proven experience in developing machine learning and deep learning models, preferably in the health domain
Proficiency in Python and ML frameworks e.g. PyTorch, Tensorflow
Experience with health data analysis, including time-series data, sensor data, and biomedical signal processing
Proven understanding of data preprocessing, feature extraction, and model evaluation techniques
Familiar with software development standard methods/teamworks
Sufficient SW skills to run large ML training jobs efficiently on a distributed backend with large volume of data
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 $150,400 and $277,600, 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

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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