What are the responsibilities and job description for the Speech Algorithm Engineer position at DeepRec.ai?
Speech Algorithm Engineer (Speech LLM / SpeechLLM)
$200,000 - $300,000
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
What “Great” Looks Like
$200,000 - $300,000
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
Salary : $250