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Pocket

AI voice recorder · hardware device

Research Engineer - Voice Intelligence

San Francisco Bay Area$200k–$300k/yrPosted 7 days ago
AI researchStaff+Full Time
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Opens the source posting on ycombinator.com

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About the role

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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 intelligence (measured and felt).

  • A clear evaluation harness (offline + online) that prevents regressions and accelerates iteration.

  • Voice features that ship reliably at scale with predictable latency.

What we're looking for

  • 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.

  • Nice-to-haves

  • Experience with streaming audio pipelines and real-time systems.

  • Experience with LLM post-processing, structured extraction, and evaluation.

  • Experience building tooling for labeling, dataset curation, and QA.

What we offer

  • Work directly with us and learn fast

  • Direct impact on how the company operates day to day

  • High-trust, high-responsibility environment

  • Competitive compensation

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