Open Vision Engineering
Research Engineer - Voice Intelligence
$200K–$300K
San Francisco · On-site · Full-time · Posted Oct 20, 2026
- Experience
- 6–10+ years shipping production systems with strong technical ownership.
About the job
Develop and productionize end-to-end voice intelligence capabilities, from audio capture and understanding to real-time product experiences and evaluation.
What you'll do
- Improve voice-stack quality, including diarization, VAD, noise robustness, transcription, speaker identification, and post-processing.
- Build voice-powered features such as memory, summaries, action extraction, and personalization; evaluate and productionize improvements.
- Improve real-time performance and reliability through streaming pipelines, latency management, and graceful fallbacks.
What they ask for
- Strong applied ML or research-engineering skills, including turning prototypes into robust products.
- Understanding of audio/voice fundamentals and modern model and evaluation workflows.
- Strong focus on performance and reliability.
Nice to have
- Experience with streaming audio pipelines and real-time systems.
- Experience with LLM post-processing, structured extraction, evaluation, or tooling for labeling, dataset curation, and QA.
Pay
$200K – $300K (base salary)
Tools
VAD, LLM
AI focus
Build and evaluate AI voice capabilities, including transcription, speaker identification, summaries, action extraction, and personalization.
Model-written summary · the original posting is authoritative