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Signal Processing Machine Learning Jobs in California

Apple

Machine Learning Engineer

San Diego, CA

$139K - $258K/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

Machine Learning Engineer

Cupertino, CA

$147K - $272K/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 ...

Poesis LLC

Machine Learning Engineer

Menlo Park, CA

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 ...

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 ...

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 ...

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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 Jun 20, 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

Software Engineer/Algorithm Developer (Venator)

Accelint

San Diego, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 hours ago

Job description

Accelint is a mission-driven technology company focused on strengthening national security and supporting critical industries. We build the technologies that help operators and organizations see what's happening, make faster and better decisions, take action with confidence, and stay ready for what comes next. Our work includes advanced sensors, autonomous systems, mission command and control software, AI-enabled training and simulation, and tools that improve logistics, maintenance, and overall readiness.
For nearly 30 years we have supported military and civilian agencies across the Department of Defense, U.S. allies and partners, and essential industries. When you join Accelint, your work directly contributes to protecting national security and strengthening the systems our society depends on.
Venator Solutions is a high-tech small business division of the ACCELINT family of companies specializing in unique data fusion, tracking, signal processing, and sensor automation technologies.
We are currently seeking an experienced signal/information processing, machine learning, and/or software engineer who is highly motivated to apply their skills towards developing and managing cutting-edge software within a collaborative small-team environment. This is a great opportunity to get deeply involved in hands-on development, management, and transition of production level AI/ML software within fielded signal processing systems and in support of the advancement of these systems through AI/ML
Duties & Responsibilities
  • Design, develop, and apply signal/information processing, machine learning, and advanced software systems to support mission and program objectives.
  • Develop, research, and transition cutting-edge AI/ML-enabled software within fielded signal processing systems
  • Lead and contribute to hands-on design, implementation, integration, and lifecycle management of production-level AI/ML solutions
  • Apply advanced mathematical, engineering, and signal processing expertise to develop automation algorithms, automation display systems, and OMI software

Required Qualifications
  • B.S. in Computer Science, Computer Engineering, or related discipline required; advanced degree(s) preferred
  • 5-7+ years of progressive engineering experience (10+ years desirable for senior roles)
  • Strong proficiency in Unix/Linux environments and programming in C, MATLAB, Python, and/or TensorFlow
  • Additional experience with C++, Java, Unity, Godot, and related software frameworks desirable
  • Demonstrated experience in AI/ML system research, development, validation, deployment, and sustainment
  • Expertise in software debugging, testing, verification, and performance metric-based analysis, including real-time system data evaluation
  • Experience supporting Navy sonar systems (e.g., SQQ-89, IUSS, SURTASS, SUB Passive Sonar) or other government system development programs preferred
  • Experience working within large-scale software system integration efforts across multiple teams
  • Secret Clearance

Leadership & Collaboration:
  • Proven project leadership with increasing levels of technical responsibility
  • Strong interpersonal and communication skills to support customer engagement, cross-functional collaboration, and business growth
  • Demonstrated ability to excel in collaborative small-team environments while contributing to enterprise-level integration efforts

Clearance Requirements
Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the security clearance process please access this link.
EEOC & Know Your Rights
Accelint companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs. For more information about your rights, please review the "Know Your Rights" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish
Pay Scales & Benefits
The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors.
Benefits include...
  • Paid Time Off
  • Paid Company Holidays
  • Medical, Dental & Vision Insurance
  • Optional HSA and FSA
  • Base and Voluntary Life Insurance
  • Short Term & Long-Term Disability Insurance
  • 401k Matching
  • Employee Assistance Program

The pay range for this role is: $125,000-140,000 USD per year (San Diego, CA)

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