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Research Engineer - Voice Intelligence

Pocket
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San Francisco, CA$200k - $300kFull-timePosted 3mo ago

About the role

Research-minded engineer focused on end-to-end voice intelligence, from capture and understanding to real-time experiences and evaluation, at Pocket.

Responsibilities

  • 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.

Qualifications

  • Have 6–10+ years of experience shipping production systems with strong technical ownership.
  • Are strong in applied ML/research engineering and can turn prototypes into robust product.
  • Understand audio/voice fundamentals (signal processing basics helpful) and modern model/eval workflows.
  • Care deeply about performance and reliability.

Skills

Required:production systemsapplied ML / research engineeringaudio/voice fundamentals

Benefits

  • Work directly with us and learn fast
  • Direct impact on how the company operates day to day
  • High-trust, high-responsibility environment
  • Competitive compensation
Last updated Oct 25, 2026. Interested? Apply on the company site.
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About Pocket

Take Notes in the Real World

Pocket is a small AI device that turns everything you say and hear into clear notes, action items, and search. We combine custom hardware, AI, and software to build the best note-taking experience for people who talk and move fast

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