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Speech Scientist Jobs (NOW HIRING)

Apex Informatics

Linguist III

Master's degree in general Linguistics or Linguistics with an emphasis on Romance languages, Computational Linguistics, Speech Science, or related field REQUIRED. • Master's degree in general ...

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How much do speech scientist jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for speech scientist in the United States is $10.10, according to ZipRecruiter salary data. Most workers in this role earn between $9.38 and $10.82 per hour, depending on experience, location, and employer.

What is a speech scientist?

A speech scientist may refer to several types of science professionals. In this field, you may be a linguistics expert who focuses on speech science, which is the study of sound production. These speech scientists’ responsibilities are more closely focused on anatomy and perception. The title may also refer to a data scientist or computer scientist who uses natural language processing and machine learning to test, analyze performance, and improve automated speech recognition. In this field, your duties revolve around the design, development, and optimization of voice recognition software and other forms of artificial intelligence designed to recognize grammars and improve the user experience.

What are some common challenges speech scientists face when developing speech recognition systems for diverse user populations?

Speech Scientists often encounter challenges related to accurately recognizing speech from users with a variety of accents, dialects, and speech patterns. Ensuring that speech recognition models perform well across different demographic groups requires collecting and annotating large, representative datasets, as well as continuously refining algorithms to minimize bias and improve robustness. Collaboration with linguists, data engineers, and user researchers is essential to address these challenges and deliver inclusive, high-performing solutions.

What can you do with a speech scientist degree?

A speech scientist degree prepares individuals for roles in research, clinical assessment, and treatment of speech and language disorders. They often work in healthcare, educational, or technological settings, utilizing skills in acoustics, linguistics, and data analysis, and may require knowledge of specialized tools and certifications. Career options include speech-language pathologist, research scientist, or speech technology developer.

What does a speech scientist do?

A speech scientist researches and analyzes human speech and communication processes, often studying speech production, perception, and disorders. They may work with speech analysis tools, conduct experiments, and develop therapies or technologies to improve speech and language functions.
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Speech Scientist jobs near you
Infographic showing various Speech Scientist job openings in the United States as of August 2026, with employment types broken down into 4% As Needed, 63% Full Time, 22% Part Time, 1% Temporary, and 10% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $20,999 per year, or $10.1 per hour.

Senior Applied Scientist, Speech

Otter.ai

Mountain View, CA • On-site, Remote

$230K - $265K/yr

Full-time

Posted 19 days ago

Job description

The Opportunity
Do you want to lead projects to build and deploy cutting-edge AI technology to help people get unparalleled value from meetings and conversations? Join our core AI team responsible for ML and work alongside industry-veteran scientists and engineers. As a Senior Applied Scientist, you'll bring your strong software engineering mindset to machine learning in order to scale and optimize our speech systems-creating and transforming innovative research into production-ready features that power Otter's summarization and conversational intelligence products.

Your Impact

  • Architect, build, and evolve large-scale ASR and TTS systems that power mission-critical product experiences including speech understanding across millions of conversations.
  • Lead the design and implementation of training, fine-tuning, post-training, and inference strategies for speech models using PyTorch making principled trade-offs across quality, latency, cost, and reliability.
  • Design and improve model architectures, loss functions, decoding strategies, and training techniques for speech models, informed by both research and production constraints.
  • Own end-to-end ML system lifecycles, from research prototyping through production deployment, monitoring, iteration, and long-term maintenance.
  • Partner deeply with product, and infrastructure teams to develop and translate cutting-edge research into scalable, production-grade systems that deliver measurable user and business impact.
  • Drive system-level improvements in model performance, robustness, observability, and operational excellence using real-world conversational data at scale.
  • Set technical direction and best practices for ML infrastructure, data pipelines, evaluation frameworks, and deployment workflows in a cloud environment.
  • Identify and resolve complex, ambiguous problems in model behavior, data quality, scaling, and system interactions, often before they surface as user-visible issues.
  • Mentor and elevate other engineers, influencing team standards, reviewing designs, and contributing to a culture of strong technical decision-making and execution.

We're Looking for Someone Who

  • Holds a Bachelor's or Master's degree in Computer Science or a related field with 5+ years of relevant industry experience; PhD is preferred.
  • Has deep, hands-on experience building and fine-tuning speech or foundation models, with production experience in ASR and/or TTS systems.
  • Demonstrates strong command of modern ML research, with the ability to critically evaluate new papers and drive innovation by identifying what is production-worthy versus experimental.
  • Has experience deploying, scaling, monitoring, and operating ML systems in production across training, inference, and serving infrastructure.
  • Is comfortable working with large-scale speech and conversational datasets, including data preprocessing, augmentation, quality analysis, and labeling strategies to support model training and evaluation.
  • Can lead technical projects independently, driving clarity in ambiguous problem spaces and making sound architectural decisions.
  • Has experience with or strong interest in agentic systems, tool-use frameworks, or multi-model orchestration.

About Otter.ai

We are in the business of shaping the future of work. Our mission is to make conversations more valuable.

With over 1B meetings transcribed, Otter.ai is the world's leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.

Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity.

*Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.

Salary range

Salary Range: $230,000 to $265,000 USD per year.

This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package.
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