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Signal Processing Machine Learning Jobs in California

Nudge

Lead Machine Learning Engineer

San Francisco, CA · On-site

$120K - $159K/yr

About the role As a Machine Learning Lead at Nudge, you will drive the development of next-generation ML and imaging systems at the intersection of ultrasound, signal processing, and neuroscience.

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

Develop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

Develop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar ...

Meta

Research Scientist, Wearables AI

Burlingame, CA

$184K/yr

Meta is seeking a Research Scientist with experience in product-focused signal processing and machine learning to help us create novel wearable sensors and algorithms to power the next generation of ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$150K - $277K/yr

As part of our machine learning team, you will play a vital role in prototyping foundational ... ISP (image signal processing), 3A (AE, AF, AWB), diffusion models, multi-modal, generative AI ...

Apple

Sensing ML Algorithm Engineer - HID

Cupertino, CA

$184K - $324K/yr

We are looking for a signal processing and machine learning engineer with C/C++ implementation skill. Your good communication skills, and ability to drive discussions with cross-functional teams ...

Apple

Machine Learning Engineer

San Diego, CA

$142K - $263K/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 ...

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All JobsSignal Processing Machine Learning JobsSignal Processing Machine Learning Jobs in California

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 12, 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:
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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.
Lead Machine Learning Engineer

Lead Machine Learning Engineer

Nudge

San Francisco, CA • On-site

$120K - $159K/yr

Full-time

Re-posted 26 days ago

Job description

About Nudge

At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people.

To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, believe hard things are worth doing, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other.

About the role

As a Machine Learning Lead at Nudge, you will drive the development of next-generation ML and imaging systems at the intersection of ultrasound, signal processing, and neuroscience. You’ll lead technical direction across core ML initiatives while remaining deeply involved in architecture, modeling, and deployment.

In this role, you will:

  • Lead the design and development of imaging algorithms that leverage in-house ultrasound transducers and high-performance compute to image the brain and skull

  • Drive the development of high-resolution acoustic simulation systems to model the propagation and scattering of ultrasound energy and accurately predict delivered dose

  • Architect computer vision and real-time inference systems that track brain motion and dynamically adapt targeting parameters during treatment

  • Partner closely with mechanical engineers, electrical engineers, ultrasound engineers, transducer designers, and neuroscientists to translate research concepts into robust production systems

  • Define technical strategy and best practices across machine learning, modeling, simulation, and signal processing infrastructure

  • Mentor and elevate other engineers through technical leadership, code review, and systems-level thinking

  • Help shape the long-term ML roadmap as we apply machine learning in a domain where it has not traditionally been used

About you

We are looking for engineers with at least 3 years of industry experience. Regardless of career level, you should have:

  • Strong first-principles understanding of engineering, physics, and signal processing.

  • Experience writing production-level code (Python preferred)

  • A degree in Computer Science or similar engineering discipline

  • You do not need prior experience with ultrasound or neuroscience

  • Shipped products that deliver value in the real world; ideally, you will have solved problems involving messy real-world sensors

  • High integrity and strong professional judgement