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Signal Processing Machine Learning Jobs in California

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 ...

1X

Audio Systems Engineer, Robot Head

Hayward, CA · On-site

Successfully integrate audio hardware with signal processing, VAD, DOA, noise suppression, and machine learning pipelines * Establish validation methodologies and performance metrics that support ...

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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 Sep 14, 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?

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 does a signal processing machine learning do?

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 are the key skills and qualifications needed to thrive in signal processing machine learning?

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:

Signal Processing Machine Learning jobs near you
Infographic showing various Signal Processing Machine Learning job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $129,629 per year, or $62.3 per hour.

Senior Machine Learning Engineer

San Diego, CA • On-site

Murata Americas
See more jobs at Murata Americasexternal

$140K - $178K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Key responsibilities

  • Design and develop advanced machine learning models for radar signal processing.

  • Evaluate novel ML and deep learning architectures for radar data and develop end-to-end ML pipelines.

  • Analyze and model raw and processed radar data to support product development and performance optimization.

Job description

Sensoride has been driven by a simple vision - to make sensing smarter, faster, and more reliable. We create innovative technologies that help industries see and understand the world with unmatched clarity. From improving safety on the road to enabling the next generation of intelligent radar sensors, our solutions turn emerging ideas into reality.
Every day, we push the boundaries of what's possible, because we believe precision matters in mobility. The breakthroughs we're making today are shaping the smarter, safer, and more accurate sensors - and wherever accuracy matters, you'll find Sensoride at the center.
Why Consider This Job Opportunity
The Senior Machine Learning Engineerworks on meaningful, real-world challenges where machine learning directly impacts the performance of automotive radar sensing products. This position works alongside a talented team developing cutting-edge technologies.
Workplace Policy
On-site from San Diego, CA.
After hours support and coverage are required.
What To Expect (Essential Job Responsibilities)
  • Design and develop advanced machine learning models for radar signal processing.
  • Evaluate novel ML and deep learning architecture for radar data.
  • Develop end-to-end ML pipelines, including data preprocessing, feature extraction, model training, validation, and performance optimization for radar data.
  • Analyze and model raw and processed radar data (e.g., time-domain, frequency-domain, range-Doppler, range-angle representations).
  • Drive innovation by evaluating and implementing state-of-the-art ML and deep learning techniques for radar-based detection, classification, and tracking.
  • Optimize models for real-time and embedded deployment, considering constraints such as latency, memory, and power.
  • Bridge theory and practice by translating research outcomes into scalable, real-world applicable algorithms.
  • Support product development through algorithm validation, performance benchmarking, and documentation.
  • Strong statistical and mathematical skills to act as the in-house mathematician/statistician.

Miscellaneous Job Responsibilities
  • Review and provide feedback on technical designs, research reports, and algorithm implementations.
  • Represent the team or organization in internal technical forums, design reviews, and external workshops.
  • Ensure adherence to best practices in research methodology, data management, and experimental reproducibility.
  • Assist in defining coding standards, evaluation metrics, and benchmarking methodologies.
  • Promote knowledge sharing through documentation and training sessions.
  • Support hiring activities, including technical interviews and candidate evaluation.

What Is Required (Qualifications)
  • Master's or PhD in Applied Mathematics, Statistics, Electrical Engineering, Computer Science, or a related field.
  • 3+ years' research experience in developing machine learning models and applied statistics.
  • After hours support and coverage are required.
  • Strong understanding of radar fundamentals and signal processing concepts.
  • Proven experience applying ML/DL techniques (e.g., CNNs, RNNs, Transformers, classical ML) to radar or similar sensing modalities.
  • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow; experience with data analysis tools (NumPy, SciPy, pandas).
  • Ability to train, build, deploy, and manage machine learning models for radar applications such as Google Colab, AWS, or similar platforms.
  • Problem-solving skills with the ability to work across multidisciplinary teams.
  • Strong communication skills with the ability to explain complex technical concepts clearly.

How To Stand Out (Preferred Qualifications)
  • Experience applying machine learning to radar, perception, robotics, or autonomous systems.
  • Deep understanding of signal processing and sensor data analysis.
  • Proven track record of designing ML models that deliver measurable product impact.
  • Experience with time domain samples, data augmentation and field testing.
  • Publications, patents, or noteworthy technical contributions in ML or sensing technologies.
  • Curiosity, ownership, and a passion for building cutting-edge products with a high-performing team.

Other
Minimum Salary: $140,000
Maximum Salary: $178,000
We consider various factors in determining actual pay including your skills, qualifications, and experience. In addition to salary, this position is eligible for incentive awards based on individual and business performance as well as competitive benefits.
Perks
  • Comprehensive benefits package including medical, dental, and vision insurance.
  • Generous Paid Time Off including paid holidays and floating holidays.
  • 401(k) employer match on retirement planning.
  • Hybrid working schedule for eligible positions.
  • Tuition reimbursement on approved programs.
  • Flexible and health spending accounts.
  • Talent Development program.

Be an innovator - Join Sensoride!
Sensoride offers competitive compensation and comprehensive benefits.
Equal Opportunity/Affirmative Action Employer - M/F/Disabilities/Veterans
Additional Position Information:

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