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Speech Signal Processing Jobs (NOW HIRING)

Apptronik

Senior Electrical Engineer - HRI

Austin, TX · On-site

$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

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 ...

GN Group

Machine Learning Engineer - Cloud

Lowell, MA · On-site +1

$86K - $135K/yr

Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your work location, the target annual salary for this position can range from $86,000.00 to $135,000.00. In ...

GN Group

Machine Learning Engineer - Cloud

Dover, NH · On-site

$86K - $135K/yr

Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your work location, the target annual salary for this position can range from $86,000.00 to $135,000.00. In ...

GN Group

Machine Learning Engineer - Cloud

Dover, NH · On-site +1

$86K - $135K/yr

Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your work location, the target annual salary for this position can range from $86,000.00 to $135,000.00. In ...

Masimo

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 ...

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Speech Signal Processing information

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$15

$43

$69

How much do speech signal processing jobs pay per hour?

As of Jul 22, 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 are the key skills and qualifications needed to thrive as a Speech Signal Processing Engineer, and why are they important?

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 are some typical projects or tasks that a professional in Speech Signal Processing might work on within a multidisciplinary team?

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 July 2026, with employment types broken down into 82% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $91,346 per year, or $43.9 per hour.
Mental Health Writers or Actors, Part-Time

Mental Health Writers or Actors, Part-Time

mpathic

Seattle, WA • On-site

$30 - $75/hr

Contractor

Re-posted 23 days ago

Job description

About mpathic.ai
mpathic is keeping humans safe in the AI era through automated tools and expert datasets that are rooted in psychology and powered by clinicians.
We are a series A start-up backed by Tier 1 investors including Foundry.vc and Next Frontier Capital.
Position Overview
mpathic is looking for part-time mental health writers and actors, ideally clinicians with strong backgrounds in writing, acting, improvisation, or role-play performance, to join our team. We are also open to writers and actors without clinical degrees or licensure who demonstrate commensurate experience working with vulnerable populations and sensitive content. This role will report to the Human Data Operations Manager (Katie Hawkes).
If you have already applied for a part-time expert role in the past 12 months, you do not need to reapply as we have your application on file.
Also, please note that the content this role will be involved in producing will be utilized expressly for the purposes of AI safety and mental health, and will not be utilized in TV or film. If you have existing TV or film writing contracts that exclude competing work, it may not be an issue to work with us, depending on your specific contract.
Because this role involves role-playing clinical scenarios with AI agents, we are ideally seeking clinicians and other experts who bring creative or performance-driven strengths, as these competencies enhance the realism, nuance, and emotional depth needed for AI safety testing:
  • Acting, theatre, improv, or voice-over experience
  • Strong writing skills, especially dialogue or scenario writing
  • Experience creating or inhabiting characters (e.g., performers, TTRPG role-play, narrative designers)
  • Conversational design, interaction writing, or scripted role-play experience
  • Participation in gaming, interactive storytelling, or digital communities where role-play is common

The role centers on a confidential initiative focused on AI safety protocols and mental-health policy implementation for large language models (LLMs). You will help design and perform realistic conversational scenarios, red-team model behavior, identify behavioral edge cases, and ensure appropriate recognition of distress or risk in AI-driven interactions. You may also help develop novel psychometrics, rubrics, behavioral taxonomies, evaluation criteria, and qualitative analyses. A strong commitment to safety, clinical ethics, and confidentiality is essential.
Successful candidates are proactive, reliable, collaborative, and skilled at balancing independent problem-solving with appropriate escalation. Consistency and communication are key at mpathic.
Key Responsibilities:
  • Design and role-play chat experiences with AI agents across diverse clinical and emotional scenarios
  • Perform or simulate characters across ages, backgrounds, severity levels, and emotional states (spoken or written)
  • Write dialogue scripts, scenario outlines, or narrative prompts for testing edge cases in mental-health contexts
  • Conduct qualitative analyses of conversations to derive taxonomies, personas, and behavioral patterns
  • Translate clinical expertise into structured prompt patterns and evaluation rubrics
  • Provide expert clinical feedback on internal mental-health policy development
  • Collaborate with engineering and research teams to define evaluation metrics for tone, psychological validity, and appropriateness
  • Identify and document failure cases, risk signals, and edge behaviors
  • Contribute to scenario modeling, red teaming, and rapid experimentation cycles
  • Ensure all work adheres to strict confidentiality agreements and NDAs
  • Implement quality-assurance protocols for conversation and behavioral analysis
  • Participate in review sessions with engineers, researchers, and clinical consultants

Basic Qualifications:
  • Knowledge of crisis intervention, risk assessment, and safety planning
  • Demonstrated experience in creative writing, theatre, improv, acting, voice acting, or character-driven role-play
  • 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 and use Slack, LLM tools (trainable), and Microsoft 365
  • Comfort with ambiguity, iteration, and emerging technology
  • Ability to integrate constructive feedback

Above and Beyond:
  • Clinical experience with severe pathology, crisis populations, individuals experiencing mental-health crises, and vulnerable youth or young adults
  • In-progress or completed clinical degree or independent licensure (e.g., Clinical Psychology, Counseling, Social Work, Psychiatry, or related field)
  • Participation or familiarity with Discord, Reddit, gaming communities, or narrative role-play environments
  • Background in trust & safety, content moderation, or policy development
  • Experience with AI/ML in clinical or healthcare settings
  • Experience with data classification, annotation, or qualitative analysis projects

Compensation:
Our pay structure is dependent on licensure, years of education, and professional experience. Our pay ranges from $30-75/hr, dependent on qualifications.
Additional Requirements:
  • Must be willing to sign comprehensive NDA, confidentiality agreements, and any other agreements that may be required by the end customer
  • Comfortable working with sensitive mental health content and in an area of high impact for billions of end-users
  • Recurrent occasional team meetings and project coordination calls

To Apply: Please submit your resume along with a brief cover letter describing your relevant experience, skills, and interests.
IMPORTANT - How to Apply
We can only accept and review and applications via our direct official recruiting portal: https://mpathic2.bamboohr.com/careers, due to the abundance of 3rd party apps and automated agents. Only applications submitted directly by the applicant through our portal will be considered.

Apply