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Speech Signal Processing Jobs in California (NOW HIRING)

Educational or professional experience with digital signal processing and a deep understanding of speech. * Experience building interfaces for ML-powered or data-heavy products in a production ...

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Speech Signal Processing information

See California salary details

$15

$43

$68

How much do speech signal processing jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for speech signal processing in California is $43.34, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $51.01 per hour, depending on experience, location, and employer.

What is speech signal processing?

Speech signal processing is a field of study focused on analyzing, modifying, and synthesizing speech signals using digital techniques. It involves tasks such as noise reduction, speech recognition, speaker identification, and speech synthesis. Professionals in this area use mathematical algorithms and computer software to process recorded or live audio to improve clarity, extract information, or enable human-computer interactions. The applications of speech signal processing are widespread in telecommunications, assistive technology, and voice-activated systems.

What do speech signal processing professionals do?

As a Speech Signal Processing professional, you may collaborate with linguists, software engineers, and data scientists on projects such as developing automatic speech recognition (ASR) systems, enhancing voice assistants, or improving noise reduction algorithms. Daily tasks often include analyzing large datasets of speech, designing and testing algorithms, and integrating your solutions into larger products. Team-based work is common, requiring strong communication skills to bridge technical and non-technical perspectives. The dynamic nature of the field also means you'll often participate in research and experimentation to push the boundaries of what voice technology can achieve.

What skills and qualifications are needed for speech signal processing?

To thrive as a Speech Signal Processing Engineer, you need a solid background in digital signal processing, mathematics, and programming, usually supported by a degree in electrical engineering, computer science, or a related field. Familiarity with tools and languages such as MATLAB, Python, TensorFlow, and experience with speech recognition frameworks is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills are important soft skills for this position. These competencies are essential for developing robust speech systems, ensuring accurate processing, and collaborating efficiently within multidisciplinary teams.

What is the difference between Speech Signal Processing vs Speech Recognition Engineer?

AspectSpeech Signal ProcessingSpeech Recognition Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fieldsBachelor's or Master's in similar fields, often with specialization in AI or machine learning
Work EnvironmentResearch labs, tech companies, academia, focusing on audio data analysisTech companies, startups, focusing on developing speech-to-text systems
Industry UsageUsed in audio enhancement, noise reduction, speech codingApplied in voice assistants, transcription services, voice-controlled devices

Speech Signal Processing involves analyzing and improving speech audio signals, while Speech Recognition Engineers focus on converting speech into text. Both roles require similar technical backgrounds but differ in their primary objectives and applications within the industry.

What are popular job titles related to Speech Signal Processing jobs in California?

For Speech Signal Processing jobs in California, the most frequently searched job titles are:

What job categories do people searching Speech Signal Processing jobs in California look for?

The top searched job categories for Speech Signal Processing jobs in California are:

Infographic showing various Speech Signal Processing job openings in California as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $90,150 per year, or $43.3 per hour.

Software Engineer, Siri Attention And Invocation

Apple

Cupertino, CA • On-site

Full-time

Re-posted 27 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 683 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Play a part in the next revolution in human- computer interaction. Collaborate with software engineers as well as machine learning engineers/ scientists in several technical areas spanning the entire range of Siri's capabilities (speech recognition, natural language understanding, dialogue management). Have the opportunity to innovate, create groundbreaking technology, build prototypes of user-facing features and magical experiences, and work with a cross-functional team to ship these magical experiences to millions of users.
Description
The Siri Team is looking for someone with a combination of strong programming skills and a creative, user-focused approach. This role would take Siri to the next level of intelligence and accuracy by using advanced statistical techniques to improve the quality of customer features. This involves working on core machine learning algorithms and systems that are part of Siri's ability to understand and respond to requests. You should be able to thrive in a fast-paced environment with rapidly-changing priorities and technology stacks. A thirst for designing new technology with a user-first approach is crucial.
Minimum Qualifications
Proficiency in object oriented programming (e.g. Swift, C++, or Objective-C)
Excellent algorithm and data structure skills (time and space complexity analysis, optimization, etc.)
Proven to quickly learn and modify large, existing code base
Passion for building demo prototypes and turning them into production quality design/implementation
Strong communication skills to work well with cross-functional engineering teams
Excellent problem solving and critical thinking, good at seeing the big picture
Ability to work in a fast-paced environment with rapidly changing priorities
Enthusiasm for learning and applying data science and machine learning on the job
Preferred Qualifications
B.S. or M.S. degree in Computer Science, or equivalent experience
Passion for high-quality software and excellent user experience
Experience with voice assistant technologies or conversational AI systems
Background in signal processing, natural language processing, or related fields

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

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