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Signal Processing Machine Learning Jobs in California

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

In this role, you'll develop models, signals and evaluation frameworks that power investment ... You'll build from first principles, with no legacy systems, or entrenched processes slowing you ...

Align Technology

Staff R&D Engineer-Algorithm

San Jose, CA · On-site

$210K - $288K/yr

Architect robust signal processing and machine learning pipelines for physiological metrics. * Evaluate sensor signal quality, integrity, and reliability to ensure accurate data interpretation and ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site

$116K - $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

$116K - $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

$150K - $277K/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

See California salary details

$52.8K

$129.6K

$191K

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

As of Jul 11, 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 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.

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 popular job titles related to Signal Processing Machine Learning jobs in California? For Signal Processing Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Signal Processing Machine Learning jobs in California look for? The top searched job categories for Signal Processing Machine Learning jobs in California are:
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 July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $129,629 per year, or $62.3 per hour.
Machine Learning Engineer - Applied Science

Machine Learning Engineer - Applied Science

Apple

Santa Clara, CA • On-site

Full-time

Posted 3 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Siri helps hundreds of millions of people find the information they are looking for. A critical part of that mission is helping them quickly find and discover local businesses, places of interest, and addresses. Users rely on us for relevant and easy access to local information like finding a favorite or romantic restaurant, business hours, nearby coffee shop addresses, and directions to prominent locations. The Geo domain team is redefining how hundreds of millions of people use their devices to navigate and explore the physical world around them. We are part of a wider effort to power search across a variety of Apple products - including Siri, Spotlight, Safari, Messages, and more. As part of our team, you will be using innovative machine learning techniques and LLMs in order to understand queries, rank documents, and find useful answers to users' questions. We are looking for an experienced applied researcher with hands-on experience in search and recommendation and deploying powerful machine learning models at scale. You will join a team that combines strong technical skills, product vision, and a love of all things local to bring together the pieces needed to deliver an extraordinary Maps experience in Siri and Spotlight.
Description
As a member of our high-impact, iterative environment, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. Our team includes a diversity of backgrounds from applied scientists with a focus in NLP to experienced distributed systems engineers. We are looking for candidates with both applied machine learning and deep-learning experience as well as strong engineering skills.
Minimum Qualifications
You have 8+ years of experience in information retrieval, natural language processing, machine learning, or deep learning.
You have a deep understanding of machine learning theory, including supervised learning, ranking models, embeddings, representation learning, and evaluation metrics.
You have proven ability to apply advanced ML techniques to improve search relevance and retrieval quality at scale.
You are comfortable leading experimentation, offline evaluation, and online A/B testing for iterative improvements in search quality.
You actively monitor recent research literature - including arXiv, NeurIPS, ICML, ACL, SIGIR, and industry publications - and have a track record of translating findings into practical system improvements.
You independently identify high-impact research directions and drive them forward without requiring top-down direction.
You demonstrate a strong bias toward action, moving fluidly from paper to prototype to production in tight iteration cycles - executing quickly while maintaining quality and rigor.
You have excellent interpersonal skills, the ability to work independently as well as part of a team, including cross-functional collaboration with product and design.
You have a Master's Degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
Preferred Qualifications
PhD in Computer Science, Machine Learning, Information Retrieval, or a related field, or equivalent research experience demonstrated through publications, patents, or significant open-source contributions.
Track record of publishing or presenting at top-tier research venues such as NeurIPS, ICML, ACL, SIGIR, WWW, or equivalent.
Experience applying LLMs and generative AI techniques to production search or recommendation systems.

What Apple employees say

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Benefits

Hours and flexibility

Workplace

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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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