Strong grounding in audio and speech signal processing fundamentals, for example STFT analysis/synthesis. Proficiency with PyTorch and Bash, including version control, code review, testing, and ...
Strong grounding in audio and speech signal processing fundamentals, for example STFT analysis/synthesis. Proficiency with PyTorch and Bash, including version control, code review, testing, and ...
Knowledge of speech signal processing techniques including FFT, MFCC, and mel spectrograms * Familiarity with version control tools such as Git, Gerrit, or GitLab * Strong collaboration and ...
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Knowledge of speech signal processing techniques including FFT, MFCC, and mel spectrograms * Familiarity with version control tools such as Git, Gerrit, or GitLab * Strong collaboration and ...
Speech Processing ML Algorithm Engineer
Cupertino, CA · On-site
$150K - $277K/yr
Strong grounding in audio and speech signal processing fundamentals, for example STFT analysis/synthesis. Proficiency with PyTorch and Bash, including version control, code review, testing, and ...
Speech Processing ML Algorithm Engineer
Cupertino, CA · On-site
$150K - $277K/yr
Strong grounding in audio and speech signal processing fundamentals, for example STFT analysis/synthesis. Proficiency with PyTorch and Bash, including version control, code review, testing, and ...
Fundamental research in the fields of signal processing and machine learning * Advanced use cases for human interaction that combine communication modalities from areas such as speech, audio ...
Fundamental research in the fields of signal processing and machine learning * Advanced use cases for human interaction that combine communication modalities from areas such as speech, audio ...
Fundamental research in the fields of signal processing and machine learning * Advanced use cases for human interaction that combine communication modalities from areas such as speech, audio ...
Fundamental research in the fields of signal processing and machine learning * Advanced use cases for human interaction that combine communication modalities from areas such as speech, audio ...
Speech & Audio Research Engineer
San Diego, CA · On-site
$148.30 - $222.50/hr
Fundamental research in the fields of signal processing and machine learning * Advanced use cases for human interaction that combine communication modalities from areas such as speech, audio ...
Speech & Audio Research Engineer
San Diego, CA · On-site
$148.30 - $222.50/hr
Fundamental research in the fields of signal processing and machine learning * Advanced use cases for human interaction that combine communication modalities from areas such as speech, audio ...
Real-Time Speech & Audio Research Engineer
San Diego, CA · On-site
$148.30 - $222.50/hr
Qualcomm is looking for a candidate for its Speech team to work on transforming communication through advanced algorithms in signal processing, machine learning, and audio processing. The role ...
Real-Time Speech & Audio Research Engineer
San Diego, CA · On-site
$148.30 - $222.50/hr
Qualcomm is looking for a candidate for its Speech team to work on transforming communication through advanced algorithms in signal processing, machine learning, and audio processing. The role ...
As a Research Engineer - Audio & Speech Models , you will be a core contributor on Zyphra's Audio ... Understanding of signal processing, especially of audio signals * Experience with diffusion models ...
As a Research Engineer - Audio & Speech Models , you will be a core contributor on Zyphra's Audio ... Understanding of signal processing, especially of audio signals * Experience with diffusion models ...
As a Research Engineer - Audio & Speech Models , you will be a core contributor on Zyphra's Audio ... Understanding of signal processing, especially of audio signals * Experience with diffusion models ...
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As a Research Engineer - Audio & Speech Models , you will be a core contributor on Zyphra's Audio ... Understanding of signal processing, especially of audio signals * Experience with diffusion models ...
Applied Audio ML Engineer
San Francisco, CA · On-site
$122K - $151K/yr
Responsibilities : • Research, design, and implement solutions using advanced signal processing algorithms and bleeding edge ML models with application to speech and audio. • Develop production ...
Applied Audio ML Engineer
San Francisco, CA · On-site
$122K - $151K/yr
Responsibilities : • Research, design, and implement solutions using advanced signal processing algorithms and bleeding edge ML models with application to speech and audio. • Develop production ...
Audio Systems Engineer, Robot Head
San Carlos, CA · On-site
$173K - $240K/yr
Improve speech capture quality, localization accuracy, and overall audio reliability through iterative testing and optimization * Successfully integrate audio hardware with signal processing, VAD ...
Audio Systems Engineer, Robot Head
San Carlos, CA · On-site
$173K - $240K/yr
Improve speech capture quality, localization accuracy, and overall audio reliability through iterative testing and optimization * Successfully integrate audio hardware with signal processing, VAD ...
Audio Systems Engineer, Robot Head
Hayward, CA · On-site
$173.86 - $240/hr
Improve speech capture quality, localization accuracy, and overall audio reliability through iterative testing and optimization * Successfully integrate audio hardware with signal processing, VAD ...
Audio Systems Engineer, Robot Head
Hayward, CA · On-site
$173.86 - $240/hr
Improve speech capture quality, localization accuracy, and overall audio reliability through iterative testing and optimization * Successfully integrate audio hardware with signal processing, VAD ...
Research Scientist
San Francisco, CA · On-site
$210K - $360K/yr
Research, design, and implement solutions using advanced signal processing. algorithms and cutting edge ML models with application to speech and audio. * Develop production-grade inference algorithms ...
Research Scientist
San Francisco, CA · On-site
$210K - $360K/yr
Research, design, and implement solutions using advanced signal processing. algorithms and cutting edge ML models with application to speech and audio. * Develop production-grade inference algorithms ...
Sr. Machine Learning Engineer (Speech) - AI (Bangalore/Noida Locations)
Mountain View, CA · On-site
$120 - $170/hr
Awareness of state-of-the-art research in speech recognition and signal processing. * Algorithm and model development experience for large-scale applications. * Strong knowledge of Machine Learning ...
Sr. Machine Learning Engineer (Speech) - AI (Bangalore/Noida Locations)
Mountain View, CA · On-site
$120 - $170/hr
Awareness of state-of-the-art research in speech recognition and signal processing. * Algorithm and model development experience for large-scale applications. * Strong knowledge of Machine Learning ...
Member of Technical Staff, Multimodal Speech
San Jose, CA · On-site
$180K - $450K/yr
Familiarity with signal processing, acoustics, or audio representation learning is a plus * Experience with multimodal systems (speech + text, speech + vision) or real-time AI systems is a strong ...
Member of Technical Staff, Multimodal Speech
San Jose, CA · On-site
$180K - $450K/yr
Familiarity with signal processing, acoustics, or audio representation learning is a plus * Experience with multimodal systems (speech + text, speech + vision) or real-time AI systems is a strong ...
Member of Technical Staff, Multimodal Speech
San Jose, CA · On-site
$180K - $450K/yr
Familiarity with signal processing, acoustics, or audio representation learning is a plus * Experience with multimodal systems (speech + text, speech + vision) or real-time AI systems is a strong ...
Member of Technical Staff, Multimodal Speech
San Jose, CA · On-site
$180K - $450K/yr
Familiarity with signal processing, acoustics, or audio representation learning is a plus * Experience with multimodal systems (speech + text, speech + vision) or real-time AI systems is a strong ...
Member of Technical Staff, Multimodal Speech
San Jose, CA · On-site
$180K - $450K/yr
Familiarity with signal processing, acoustics, or audio representation learning is a plus * Experience with multimodal systems (speech + text, speech + vision) or real-time AI systems is a strong ...
Member of Technical Staff, Multimodal Speech
San Jose, CA · On-site
$180K - $450K/yr
Familiarity with signal processing, acoustics, or audio representation learning is a plus * Experience with multimodal systems (speech + text, speech + vision) or real-time AI systems is a strong ...
Sr Engineer, AI/Machine Learning
Irvine, CA · On-site
$140K - $170K/yr
... speech/audio and image/video. The Sr Engineer, AI & ML will also closely work with our software ... At least 3+ years of experience in AI/ML, statistical signal processing, and deep learning ...
Sr Engineer, AI/Machine Learning
Irvine, CA · On-site
$140K - $170K/yr
... speech/audio and image/video. The Sr Engineer, AI & ML will also closely work with our software ... At least 3+ years of experience in AI/ML, statistical signal processing, and deep learning ...
Sr Engineer, AI/Machine Learning
Irvine, CA · On-site
$140K - $170K/yr
... speech/audio and image/video. The Sr Engineer, AI & ML will also closely work with our software ... At least 3+ years of experience in AI/ML, statistical signal processing, and deep learning ...
Sr Engineer, AI/Machine Learning
Irvine, CA · On-site
$140K - $170K/yr
... speech/audio and image/video. The Sr Engineer, AI & ML will also closely work with our software ... At least 3+ years of experience in AI/ML, statistical signal processing, and deep learning ...
Product Engineer, Backend
San Francisco, CA · On-site
$140 - $210/hr
Educational or professional experience with digital signal processing and a deep understanding of speech. * Experience building and deploying ML models in a production environment. * Led (managed or ...
Product Engineer, Backend
San Francisco, CA · On-site
$140 - $210/hr
Educational or professional experience with digital signal processing and a deep understanding of speech. * Experience building and deploying ML models in a production environment. * Led (managed or ...
Speech Signal Processing information
See California salary details
$15.42 - $20.27
0% of jobs
$20.27 - $25.13
2% of jobs
$25.13 - $29.98
6% of jobs
$29.98 - $34.83
12% of jobs
$36.12 is the 25th percentile. Wages below this are outliers.
$34.83 - $39.68
17% of jobs
The median wage is $42.97 / hr.
$39.68 - $44.54
18% of jobs
$44.54 - $49.39
17% of jobs
$50.10 is the 75th percentile. Wages above this are outliers.
$49.39 - $54.24
13% of jobs
$54.24 - $59.09
8% of jobs
$59.09 - $63.95
4% of jobs
$63.95 - $68.80
2% of jobs
$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?
| Aspect | Speech Signal Processing | Speech Recognition Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Electrical Engineering, Computer Science, or related fields | Bachelor's or Master's in similar fields, often with specialization in AI or machine learning |
| Work Environment | Research labs, tech companies, academia, focusing on audio data analysis | Tech companies, startups, focusing on developing speech-to-text systems |
| Industry Usage | Used in audio enhancement, noise reduction, speech coding | Applied 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:
Apple rating
8.1
Based on 683 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
At Apple, new ideas have a way of quickly becoming extraordinary products, services and customer experiences. Sound is an essential and compelling facet of the customer experience - Apple has assembled a world-class Acoustics team that enables our customers to experience music with delight, communicate with clarity and appreciate our products without disturbance from noise. In Apple Acoustics we work with obsessive attention to detail, directly contributing to products that ship to millions of people around the world.
The Acoustic ML Algorithm Development team sits in Apple's Hardware organization and develops the new architectures and training paradigms that define the audio experience of the next generation of Apple hardware along with our counterparts in the Software organization. We also work closely with various teams behind microphones, loudspeakers, wireless communication, silicon, etc and we focus on features that improve the customer experience across speech, music, and general audio. We are searching for a Speech Processing ML Algorithm Engineer to advance our work in the domain of speech enhancement, with an emphasis on low-latency processing applications.
Description
As a Speech Processing ML Algorithm Engineer on the Acoustics ML Algorithm Development team, you will design, train, and evaluate models for speech enhancement. Examples include noise suppression, de-reverberation, echo suppression, and general multi-microphone processing under the low-latency, real-time constraints of shipping hardware. You will work with cross functional teams to bring early prototypes through to production.
Minimum Qualifications
MS or PhD in a computational science field or 3+ years of experience in the field of ML for speech processing.
A passion for audio ML research for applied product applications, with a deep understanding of transformers, recurrent and convolutional neural networks, etc.
Experience designing, training, and evaluating machine learning models for speech enhancement, such as noise suppression, dereverberation, source separation, or echo residual suppression.
Experience building models that meet low-latency, real-time requirements, including streaming and causal processing, and a clear understanding of the quality, complexity, and latency trade-offs involved.
Strong grounding in audio and speech signal processing fundamentals, for example STFT analysis/synthesis.
Proficiency with PyTorch and Bash, including version control, code review, testing, and reproducible experiments.
A habit of following the state of the art literature closely, with the ability to reproduce, critique, and build on published results.
Working knowledge of speech quality evaluation, spanning objective metrics (e.g. PESQ, STOI, SI-SDR, DNSMOS) and subjective listening tests, along with the data simulation and augmentation needed to support them.
Preferred Qualifications
Experience applying machine learning to adaptive filter prediction and control, such as echo cancellation, active noise control, or adaptive beamforming, including hybrid classical and learned systems.
Familiarity with Lightning and Hydra.
Familiarity with model efficiency techniques such as quantization-aware training or distillation.
Experience in high-performance cloud computing for model training.
Open source contributions to a repository using in the ML audio community.
The Acoustic ML Algorithm Development team sits in Apple's Hardware organization and develops the new architectures and training paradigms that define the audio experience of the next generation of Apple hardware along with our counterparts in the Software organization. We also work closely with various teams behind microphones, loudspeakers, wireless communication, silicon, etc and we focus on features that improve the customer experience across speech, music, and general audio. We are searching for a Speech Processing ML Algorithm Engineer to advance our work in the domain of speech enhancement, with an emphasis on low-latency processing applications.
Description
As a Speech Processing ML Algorithm Engineer on the Acoustics ML Algorithm Development team, you will design, train, and evaluate models for speech enhancement. Examples include noise suppression, de-reverberation, echo suppression, and general multi-microphone processing under the low-latency, real-time constraints of shipping hardware. You will work with cross functional teams to bring early prototypes through to production.
Minimum Qualifications
MS or PhD in a computational science field or 3+ years of experience in the field of ML for speech processing.
A passion for audio ML research for applied product applications, with a deep understanding of transformers, recurrent and convolutional neural networks, etc.
Experience designing, training, and evaluating machine learning models for speech enhancement, such as noise suppression, dereverberation, source separation, or echo residual suppression.
Experience building models that meet low-latency, real-time requirements, including streaming and causal processing, and a clear understanding of the quality, complexity, and latency trade-offs involved.
Strong grounding in audio and speech signal processing fundamentals, for example STFT analysis/synthesis.
Proficiency with PyTorch and Bash, including version control, code review, testing, and reproducible experiments.
A habit of following the state of the art literature closely, with the ability to reproduce, critique, and build on published results.
Working knowledge of speech quality evaluation, spanning objective metrics (e.g. PESQ, STOI, SI-SDR, DNSMOS) and subjective listening tests, along with the data simulation and augmentation needed to support them.
Preferred Qualifications
Experience applying machine learning to adaptive filter prediction and control, such as echo cancellation, active noise control, or adaptive beamforming, including hybrid classical and learned systems.
Familiarity with Lightning and Hydra.
Familiarity with model efficiency techniques such as quantization-aware training or distillation.
Experience in high-performance cloud computing for model training.
Open source contributions to a repository using in the ML audio community.
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