Speech Algorithm Engineer - San Francisco, CA

Only for registered members San Francisco, CA, United States

22 hours ago

Default job background
Speech Algorithm Engineer (Speech LLM / SpeechLLM) · $150,000 - $250,000 · San Francisco, Hybrid 3x per week in office · Full time / Permanent · About the Role · This company is already profitable, growing fast, and used by over 1.5M professionals globally. Revenue is tracking at ...
Job description

Speech Algorithm Engineer (Speech LLM / SpeechLLM)
$150,000 - $250,000
San Francisco, Hybrid 3x per week in office
Full time / Permanent
About the Role
This company is already profitable, growing fast, and used by over 1.5M professionals globally. Revenue is tracking at ~$250M in under three years. The product works and is highly marketable, the next step is making its speech system significantly more accurate across languages, industries, and real-world conversations.

We're hiring a speech algorithm engineer to improve speaker diarization and keyword recognition in productio. This is applied, high-impact work that ships.

What You'll Do

  • Improve speaker diarization and multi-language speech recognition accuracy in real customer conversations
  • Design and optimize hotword and terminology recognition systems for industry-specific use cases
  • Fine-tune and train large speech models on substantial audio datasets
  • Build clear evaluation frameworks to measure keyword accuracy and speaker separation performance
  • Compare open-source and commercial ASR systems and push performance beyond them
  • Work closely with product and engineering to deploy models into live systems used daily

What "Great" Looks Like

  • You've trained or fine-tuned speech models on large-scale datasets (not small research-only projects)
  • You understand how speech systems behave in noisy, real-world conditions
  • You've improved measurable production metrics (accuracy, diarization quality, keyword recall)
  • You can read research and turn it into working systems
  • You take ownership when performance drops

Notable
: If your experience is limited to light experimentation or purely academic research without production exposure, this likely won't be a fit.

Why Join

  • Profitable company at ~$250M run rate
  • Hybrid San Francisco team building both hardware and AI systems
  • Real ownership and visibility, not one engineer in a large org
  • Global product scale and meaningful datasets
  • Clear growth path toward senior technical leadership as the audio function expands
  • Strong data security and compliance standards, this is enterprise-grade infrastructure


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