Research Engineer - Voice Intelligence
Pocket, San Francisco, California
What you will do
What you'll own
- Invent and ship improvements to our voice stack: diarization, VAD, noise robustness, transcription quality, speaker ID, and post-processing.
- Build new voice-powered product capabilities: better memory, better meeting/voice summaries, better action extraction, better personalization.
- Run tight research loops: define metrics, build eval sets, iterate on models/algorithms, and productionize what works.
- Improve real-time performance and reliability: streaming pipelines, latency budgets, fallbacks, and graceful degradation.
- Partner closely with product + design to translate voice capabilities into features people feel immediately.
What success looks like
- Step-function improvements in voice quality and perceived intelligence (measured and felt).