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Signal Processing Machine Learning Jobs in California

Apple

Machine Learning Engineer

Cupertino, CA · On-site

$147.40K - $272.10K/yr

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 ...

Apple

Interaction Software Prototyper

Cupertino, CA

$147.40K - $272.10K/yr

We are an eclectic group with backgrounds in human factors research, signal processing, machine learning, and more. As a member of this team, you will sit at the boundary between prototyping ...

NextSense

Senior ML/Research Scientist

Mountain View, CA

$116.10K - $148K/yr

Apply signal processing, machine learning, and statistical analysis to decode biosignals. * Develop algorithms for automated detection of healthy and pathological neural signatures * Contribute to ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116.10K - $148K/yr

Apply signal processing, machine learning, and statistical analysis to decode biosignals. * Develop algorithms for automated detection of healthy and pathological neural signatures * Contribute to ...

Apple

Camera Algorithms Engineer

Cupertino, CA

$147.40K - $272.10K/yr

As part of the team, you will work on core camera/ISP/Machine Learning technologies based on Apple crafted image signal processing pipeline and HW components, such as the Apple Neural Engine. Here ...

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Signal Processing Machine Learning information

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$52.8K

$129.6K

$191K

How much do signal processing machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for signal processing machine learning in California is $129,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $145,600.00 per year, depending on experience, location, and employer.

What is a Signal Processing Machine Learning job?

A Signal Processing Machine Learning job involves developing algorithms that analyze and process signals (such as audio, images, video, or sensor data) using machine learning techniques. Professionals in this role apply concepts from digital signal processing (DSP) to extract meaningful patterns, enhance signal quality, and improve data-driven predictions. They work in diverse fields like telecommunications, biomedical engineering, finance, and autonomous systems. Typical tasks include feature extraction, noise reduction, and deploying deep learning models for real-time signal interpretation. Strong skills in mathematics, programming (Python, MATLAB), and frameworks like TensorFlow or PyTorch are essential.

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

To thrive in Signal Processing Machine Learning, you need a strong background in mathematics, digital signal processing, and machine learning, generally supported by a relevant degree in electrical engineering, computer science, or a related field. Experience with programming languages such as Python or MATLAB, familiarity with frameworks like TensorFlow or PyTorch, and knowledge of signal processing libraries are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills in this position. These competencies enable you to design, implement, and refine advanced algorithms that address complex, real-world data challenges.

What are some typical projects or responsibilities for a Signal Processing Machine Learning professional?

As a Signal Processing Machine Learning professional, you can expect to work on projects that involve developing and optimizing algorithms for tasks such as audio or image recognition, anomaly detection, or sensor data analysis. Daily responsibilities often include pre-processing and cleaning large datasets, feature extraction, building and training machine learning models, and validating system performance. Collaboration with cross-functional teams—such as hardware engineers, data scientists, and software developers—is common to integrate your solutions into products or services. The work environment is typically dynamic and may involve both research-oriented tasks and practical implementation to create impactful, data-driven applications.
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What cities in California are hiring for Signal Processing Machine Learning jobs? Cities in California with the most Signal Processing Machine Learning job openings:
Signal Processing Machine Learning jobs near you
Infographic showing various Signal Processing Machine Learning job openings in California as of May 2026, with employment types broken down into 96% Full Time, 1% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $129,629 per year, or $62.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

Apple

Cupertino, CA • On-site

$147.40K - $272.10K/yr

Full-time

Medical, Dental, Retirement

Posted 27 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th 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.","responsibilities":"Develop and validate ML and GenAI-driven algorithms for health sensing applications from concept through productization
Prototype and compare multiple approaches using real and synthetic data to accelerate algorithm development
Design experiments and evaluation methodologies to quantify performance and guide algorithm improvements
Optimize algorithms for robustness, efficiency, and on-device deployment constraints
Work cross-functionally with user studies, hardware, software, and product teams to bring algorithms into product
Analyze failure modes, quantify tradeoffs, and drive data-driven algorithm improvements
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
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
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 $147,400 and $272,100, 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.

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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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