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Text To Speech Jobs in California (NOW HIRING)

Kotoba

Artificial Intelligence Researcher

San Jose, CA · On-site

You'll work on full-duplex speech-to-speech, speech-to-text, and text-to-speech systems -- models that don't just understand and generate high-quality speech, but hold the flow of a conversation ...

Kotoba

Artificial Intelligence Researcher

Fremont, CA · On-site

You'll work on full-duplex speech-to-speech, speech-to-text, and text-to-speech systems -- models that don't just understand and generate high-quality speech, but hold the flow of a conversation ...

Kotoba

Artificial Intelligence Researcher

Hayward, CA · On-site

You'll work on full-duplex speech-to-speech, speech-to-text, and text-to-speech systems -- models that don't just understand and generate high-quality speech, but hold the flow of a conversation ...

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Text To Speech information

What is a text to speech job?

A Text To Speech (TTS) job typically involves converting written text into spoken audio using specialized software or AI technology. Professionals in this field may work on developing, fine-tuning, or implementing TTS systems for various applications, such as virtual assistants, accessibility tools, or audiobooks. The role can also include tasks like voice data collection, script editing, and quality assurance of generated speech. TTS jobs are important for making digital content more accessible to people with visual impairments or reading difficulties. The field combines elements of linguistics, software engineering, and artificial intelligence.

What are the key skills and qualifications needed to thrive as a text to speech engineer?

To thrive as a Text to Speech Engineer, you need a strong background in computer science, linguistics, and digital signal processing, often supported by a relevant degree. Experience with machine learning frameworks, speech synthesis toolkits (like Tacotron or WaveNet), and programming languages such as Python or C++ is typically required. Creativity, analytical thinking, and cross-functional communication skills help you collaborate with diverse teams and innovate in voice technology. These skills ensure the development of accurate, natural-sounding speech systems that meet user and client needs.

What are some common challenges faced by professionals working in text to speech development roles?

Professionals in Text to Speech development often encounter challenges such as fine-tuning synthetic voices to sound natural and expressive, handling diverse accents or languages, and optimizing algorithms for various platforms. Collaboration with linguists, UX designers, and software engineers is frequent, as ensuring accessibility and seamless integration across applications is a top priority. Staying updated on advances in AI and deep learning is essential, as the field evolves rapidly and demands continuous improvement in both technical and creative aspects.

What is the difference between Text To Speech vs Voice Actor?

AspectText To SpeechVoice Actor
Required CredentialsNone or basic audio editing skillsVoice training, acting skills, often professional demos
Work EnvironmentSoftware, digital platforms, remoteRecording studios, on-location, remote
Industry UsageAutomation, AI, tech companiesMedia, entertainment, advertising
Search & Comparison IntentAutomated voice solutions, TTS technologyVoice acting, narration, character voices

Text To Speech involves using software to convert written text into spoken words, primarily for automation and digital applications. Voice Actors, on the other hand, provide human voice recordings for media, entertainment, and advertising. While TTS is tech-driven and often used in AI and accessibility tools, Voice Actors bring emotional nuance and personality to their performances. Both roles are essential in their respective industries, but they differ significantly in skills, environment, and purpose.

What are popular job titles related to Text To Speech jobs in California?

For Text To Speech jobs in California, the most frequently searched job titles are:

What job categories do people searching Text To Speech jobs in California look for?

The top searched job categories for Text To Speech jobs in California are:

What cities in California are hiring for Text To Speech jobs?

Cities in California with the most Text To Speech job openings:

Text To Speech jobs near you
Infographic showing various Text To Speech job openings in California as of August 2026, with employment types broken down into 61% Full Time, 19% Part Time, 5% Temporary, and 15% Contract. Highlights an 87% In-person, and 13% Remote job distribution.

Director of Research, Text to Speech

Deepgram

San Francisco, CA • On-site, Remote

$213K - $328K/yr

Full-time

Posted 7 days ago

Job description

Company Overview
Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram', including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
Company Operating Rhythm
At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you're not excited to experiment, adapt, think on your feet, and learn constantly, or if you're seeking something highly prescriptive with a traditional 9-to-5.
The Opportunity
We're looking for a Director of Research to own our Text-to-Speech program end to end - the research strategy, the technical bets, and the models that ship. This is a hands-on leadership role: you set direction and stay in the details, shaping architectures, experiments, training strategy, and evaluation. You'll also build the team and operating model that let exceptional researchers move fast without lowering the bar.
The mandate is broad: advance the state of the art in speech generation, and turn those advances into models in production.
What You'll Do
  • Own the TTS research and model roadmap - decide which technical directions can materially move speech-generation quality, including the expensive and non-obvious ones, and recognize when an approach should change or die.
  • Drive advances across neural audio modeling, prosody and expressiveness, controllability, multilingual speech, voice identity and consistency, data and training strategy, post-training, and inference performance - and make sure they land as measurable production gains.
  • Stay deeply technical: review research, challenge assumptions, design experiments, diagnose model failures, and take on the highest-leverage problems yourself.
  • Build evaluation and benchmarking that explains why models improve, not just whether they did - automated metrics alongside human perceptual assessment.
  • Lead a mix of individual contributors and tech lead managers. Hire and develop both, hold an exceptionally high technical bar, grow senior researchers into technical leaders, and set direction across sub-teams while pushing decisions down to the people closest to the work.
  • Partner with engineering and product leadership on ship-readiness, and represent Deepgram's TTS research internally and externally.
You'll Love This Role If You
  • Want to own a frontier-model program end to end rather than optimize one slice of someone else's agenda.
  • Care about the breakthrough and the ship in equal measure.
  • Still love training runs, failed evals, and architecture arguments, even as most of your impact now comes through the people you lead.
  • Get energy from deciding which bets are worth making when the answer isn't obvious and the experiments are expensive.
You Must Have
  • Deep expertise in modern TTS, speech generation, or audio generative modeling, with a track record of personally training and improving large-scale neural models.
  • Command of the modern speech-generation stack and the open problems behind naturalness, expressiveness, controllability, robustness, voice consistency, and inference cost.
  • A history of setting research direction under genuine uncertainty: prioritizing experiments, allocating compute and researcher time, and killing approaches that aren't working.
  • Experience leading researchers and research engineers through other technical leaders - developing tech lead managers or equivalent, setting direction across sub-teams - while staying technically influential yourself.
  • AI as your default mode of work, not an occasional tool. You've rebuilt how you and your team operate around it, and you have a specific, earned view of what it still can't do in speech research.
  • The ability to make complex technical tradeoffs legible to product, engineering, and executive audiences.
It'd Be Great If You Had
  • TTS or generative-audio models deployed at meaningful production scale.
  • Built or substantially scaled a high-performing AI research organization.
  • Sophisticated evaluation systems for generative speech; expressive or multilingual generation, voice cloning and adaptation, or controllable generation.
  • Recognized external contributions - publications, open source, patents, invited talks - in speech synthesis, neural audio codecs, speech language models, or multimodal models.
  • Experience in fast-moving startup or research environments that routinely take models from idea to production.

Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

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