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Speech Signal Processing Jobs (NOW HIRING)

mpathic

Mental Health Writers or Actors (Contract)

Interest in NLP, AI, ML, safety evaluation, or speech-signal processing * Strong understanding of mental-health ethics, boundaries, and responsible handling of sensitive data * Ability to telecommute ...

Delsys

R&D Engineer (FT)

Natick, MA · On-site

$85K - $110K/yr

... signal processing methods and computational tools that transform complex human signals into ... physiology, speech, and motor control. • Develop metrics and error analysis frameworks to ...

Delsys

R&D Software Engineer (FT)

Natick, MA · On-site

$90K - $110K/yr

... speech analysis, and neural interface technologies. The position requires expertise in developing signal processing and computer vision pipelines, embedded systems, and scalable software architecture ...

Apptronik

Senior Electrical Engineer - HRI

Austin, TX

$106K - $138K/yr

Nice to have: familiarity with the signal processing requirements for Automatic Speech Recognition (ASR) engines and wake-word systems. EDUCATION and/or EXPERIENCE * Bachelor's or Master's degree in ...

Bose Corporation

DSP Engineer - Consumer

Framingham, MA · On-site

$147K - $171K/yr

You will have the opportunity to work with and improve upon a variety of exciting technologies like audio signal processing, microphone arrays, and speech processing. Because our teams are small, we ...

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Speech Signal Processing information

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How much do speech signal processing jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for speech signal processing in the United States is $43.92, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $51.68 per hour, depending on experience, location, and employer.

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 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 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.

More about Speech Signal Processing jobs
What states have the most Speech Signal Processing jobs? States with the most job openings for Speech Signal Processing jobs include:
What job categories do people searching Speech Signal Processing jobs look for? The top searched job categories for Speech Signal Processing jobs are:
Speech Signal Processing jobs near you
Infographic showing various Speech Signal Processing job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $91,346 per year, or $43.9 per hour.

Research Engineer - Audio & Speech Models

Zyphra

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Job description

Zyphra is an artificial intelligence company based in San Francisco, California.The Role:

As a Research Engineer - Audio & Speech Models, you will be a core contributor on Zyphra’s Audio Team, building the next generation of open-source autoencoders, ASR, TTS, SSL, and speech-to-speech models. You will be deeply involved in the entire model training process, from data gathering and processing to designing novel architectures and training methodologies.

You’ll Work Across:

  • Large-scale audio training runs

  • Performance optimization of our training stack

  • Audio dataset collection, processing, and evaluation

  • Architecture and training methodology ablations and improvements

What We're Looking For / Requirements:

  • Strong research taste and intuition. The ability to work through a research project from conception to execution to write-up.

  • Strong implementation and prototyping ability (can take an idea from conception to experimentation quickly)

  • The ability to work well with others in a high-paced research setting

  • Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale

Qualifications / Additional Skills:

  • Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models

  • Experience in training audio autoencoders

  • Understanding of signal processing, especially of audio signals

  • Experience with diffusion models, consistency models, or GANs

  • Experience with training on large-scale (multi-node) GPU clusters

  • Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing

  • Understanding of and interest in large-scale, highly parallel data processing pipelines

  • Proficiency with PyTorch and Python

  • Experience contributing to large pre-existing codebases and rapidly getting up to speed

  • Previously published machine learning research in well-respected venues

  • Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics, Machine Learning)

Why Work at Zyphra:

  • Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued

  • We strongly value new and crazy ideas and are very willing to bet big on new ideas

  • We move as quickly as we can; we aim to minimize the bar to impact as low as possible

  • We all enjoy what we do and love discussing AI

Benefits and Perks:

  • Comprehensive medical, dental, vision, and FSA plans

  • Competitive compensation and 401(k) plan

  • Relocation and immigration support on a case-by-case basis

  • In-office snacks and meals provided

  • Unlimited PTO and company holidays

  • In-person team in San Francisco with a collaborative, high-energy environment