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Signal Processing Machine Learning Jobs in Irvine, CA

... machine learning systems. By automating manual processes in creating, launching, and measuring ... signals to connect advertisers with real customers and drive measurable outcomes across the open ...

Lead DSP Engineer, EW

Costa Mesa, CA · On-site

$191K - $253K/yr

Guide DSP engineers in the execution of DSP trade studies and optimization of signal processing and machine learning algorithms for deployment on FPGAs and GPUs. * Collaborate with a ...

Senior DSP Engineer

Costa Mesa, CA · On-site

$191K - $253K/yr

Guide DSP engineers in the execution of DSP trade studies and optimization of signal processing and machine learning algorithms for deployment on FPGAs and GPUs. * Collaborate with a ...

Lead DSP Engineer, EW

Costa Mesa, CA · On-site

$191K - $253K/yr

Guide DSP engineers in the execution of DSP trade studies and optimization of signal processing and machine learning algorithms for deployment on FPGAs and GPUs. * Collaborate with a ...

Senior DSP Engineer

Costa Mesa, CA · On-site

$191K - $253K/yr

Guide DSP engineers in the execution of DSP trade studies and optimization of signal processing and machine learning algorithms for deployment on FPGAs and GPUs. * Collaborate with a ...

DSP Engineer, EW

Costa Mesa, CA · On-site

$166K - $220K/yr

Design, develop, and optimize digital signal processing (DSP) algorithms and systems for radio ... Familiar with deep learning algorithms. * Familiar with wireless communication standards (Bluetooth ...

Staff Applied Scientist

Irvine, CA · On-site

$180K - $220K/yr

... edge machine learning and AI-driven automation. By eliminating manual processes in digital ad ... signals to connect advertisers with real customers and drive measurable outcomes across the open ...

DSP Engineer, EW

Costa Mesa, CA · On-site

$166K - $220K/yr

Design, develop, and optimize digital signal processing (DSP) algorithms and systems for radio ... Familiar with deep learning algorithms. * Familiar with wireless communication standards (Bluetooth ...

Cost Estimator

Laguna Niguel, CA · On-site

$110K - $143K/yr

Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR)

Cost Estimator

Laguna Niguel, CA · On-site

$110K - $143K/yr

Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR)

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Signal Processing Machine Learning information

See Irvine, CA salary details

$57.4K

$141K

$207.7K

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

As of Jul 3, 2026, the average yearly pay for signal processing machine learning in Irvine, CA is $140,989.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $158,300.00 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 Irvine, CA? For Signal Processing Machine Learning jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Signal Processing Machine Learning jobs in Irvine, CA look for? The top searched job categories for Signal Processing Machine Learning jobs in Irvine, CA are:
Sensor Development & Manufacturing Engineering Intern

Sensor Development & Manufacturing Engineering Intern

Fluxergy

Irvine, CA • On-site

$20/hr

Internship

Posted yesterday


Job description

About Us
Fluxergy is a rapidly growing in vitro diagnostics company innovating on the cutting-edge of laboratory testing. We're developing the first and only multi-modal point-of-care platform that enables molecular, clinical chemistry, immunoassay, and hematology testing on the same system.
Our platform spans many markets including the clinical, veterinary, and food safety industries. We are seeking self-motivated problem solvers who are excited to help decentralize traditional laboratory infrastructure.
At the core of our company's identity is a strong foundation in engineering. We take great pride in our commitment to critical thinking and pragmatic problem-solving through a modular and systemic perspective. We hold the conviction that transparent communication, coupled with the flexibility to adjust to evolving scenarios and the willingness to venture beyond familiar territories, is crucial to both our success and yours.
Our product: https://vimeo.com/176673475
About the Role
We are seeking an initiative-taking Engineering or Science Intern to support the development and optimization of next-generation electrochemical sensor technologies for biological applications. This internship provides hands-on experience in ion-selective electrode (ISE) and metabolite sensor design, development, and manufacturing, including selected process optimization activities.
The intern will work in a fast-paced R&D and manufacturing environment, collaborating closely with scientists and engineers. Responsibilities include performing electrochemical testing, supporting signal processing efforts, analyzing complex datasets, and contributing to manufacturing process improvements that enhance sensor performance, production yield, and scalability.
This role is ideal for students interested in biotechnology, diagnostics, electrochemistry, automation, and advanced manufacturing technologies.
What You Will Do
  • Support ion selective electrode manufacturing and testing biological samples

  • Assist in metabolite sensor fabrication, verification and validationand validation studies

  • Contribute to electrocatalyst manufacturing process optimization initiatives

  • Perform electrochemical characterization techniques including:

    • Cyclic Voltammetry (CV)

  • Open Circuit Potential (OCP)

  • Chronoamperometry (CA)

  • Electrochemical Impedance Spectroscopy (EIS)

  • Conduct data analysis and visualization using Python and JMP

  • Help develop innovative manufacturing and process improvement solutions to optimize sensor performance

  • Maintain accurate experimental records and documentation in accordance with Good Laboratory Practices (GLP)

  • Participate in weekly technical discussions and collaborative research meetings

  • Support process transfer activities from R&D into production environments

  • Assist in generating scientific posters and technical materials for conferences such as ADLM

  • Contribute to automation, mechanical integration, and machine learning algorithm development projects as applicable

What You'll Need to Have
  • Current enrollment in a Bachelor's or Master's degree program in:

    • Biomedical Engineering

    • Mechanical Engineering

    • Chemical Engineering

    • Chemistry

    • Physics

    • Or a related technical discipline

  • Availability to work approximately 30-40 hours per week

  • Strong interest in sensor development, electrochemistry, biotechnology, or advanced manufacturing

  • Basic understanding of laboratory techniques and experimental documentation

  • Strong analytical, problem-solving, and communication skills

  • Ability to work both independently and collaboratively in a research environment

Nice to Have
  • Experience with CAD software

  • Programming experience in Python

  • Familiarity with statistical analysis tools such as JMP

  • Exposure to AI or machine learning tools

  • Experience with automation projects involving mechanical components

  • Prior exposure to electrochemical sensors, diagnostics, or biological sample testing

Interview Process
Our interview processes my differ slightly from role-to-role; however, most of our interviews will follow a similar pattern:
- Recruiter Interview
- Hiring Manager interview
- Decision
We are an early-stage company and may change our interview process from time-to-time, but our hope is everyone who interviews with us has a positive experience, even if an offer isn't presented.
Benefits
A Work Culture Which Believes in Promoting from Within
- Wear lots of hats / accelerate your career growth!
- We are a flat organization by design - lots of visibility!
- Many of our current leaders started their career with Fluxergy!
Hourly Rate: $20/hour
Additional Information
Fluxergy is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military service status, citizenship, or other protected characteristic.
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