Director of Research, Text to Speech

Deepgram · Remote · USA - Remote · San Francisco, CA · Ann Arbor, Michigan ·
Fully remoteFull-timeLead8+ years
COMPENSATION
$263k – $328k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Director level role
  • Fully remote
  • Text-to-Speech focus
  • AI-first culture
  • Leadership + hands-on

You will own the end-to-end Text-to-Speech research roadmap, from technical bets to model deployment. This role combines strategic leadership with deep technical involvement, requiring you to shape architectures, design experiments, and build a high-performing research team. You will partner with engineering and product leaders to ensure research advances translate into measurable production gains.

What you'll do

  • Define TTS research roadmap and decide on technical directions for speech generation quality
  • Drive advances in neural audio modeling, prosody, multilingual speech, and inference performance
  • Design experiments, review research, and diagnose model failures personally
  • Build evaluation systems combining automated metrics with human perceptual assessment
  • Hire and develop researchers and tech lead managers while maintaining high technical standards
  • Partner with engineering and product leadership on ship-readiness and represent research externally

What you'll need

  • Deep expertise in modern TTS, speech generation, or audio generative modeling
  • Track record of personally training and improving large-scale neural models
  • Experience setting research direction under uncertainty and allocating compute resources
  • History of leading researchers and tech lead managers while staying technically influential
  • Proficiency in using AI tools as a default mode of work and integrating them into workflows
  • Ability to communicate complex technical tradeoffs to product, engineering, and executive audiences

Nice to have

  • Experience deploying TTS or generative-audio models at meaningful production scale
  • Background in building or scaling high-performing AI research organizations
  • Expertise in sophisticated evaluation systems for generative speech or voice cloning
  • Recognized external contributions such as publications, open source, or patents in speech synthesis
  • Experience in fast-moving startup environments taking models from idea to production

Stack

  • Text-to-Speech
  • Neural Audio Modeling
  • Speech Generation
  • AI Tools

How you'll work

  • Fully remote position
  • Fast-paced AI environment requiring constant adaptation
  • Non-traditional hours, not a prescriptive 9-to-5 role