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Posted 3h ago•San Francisco

Research Engineer - Voice Intelligence

MiddleOn-site (San Francisco)Salary undisclosed
Required Skills
LLMs
Job Description

About the role

Pocket is building a category-defining platform for ambient intelligence. Voice is the highest-signal interface we have — and we’re looking for a research-minded engineer to push what’s possible with voice end-to-end: capture → understanding → real-time experiences → evaluation.

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 int

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