Source 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
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Invent and ship improvements to our voice stack: diarization, VAD, noise robustness, transcription quality, speaker ID, and post-processing.
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Build new voice-powered product capabilities: better memory, better meeting/voice summaries, better action extraction, better personalization.
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Run tight research loops: define metrics, build eval sets, iterate on models/algorithms, and productionize what works.
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Improve real-time performance and reliability: streaming pipelines, latency budgets, fallbacks, and graceful degradation.
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Partner closely with product + design to translate voice capabilities into features people feel immediately.
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What success looks like
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Step-function improvements in voice quality and perceived intelligence (measured and felt).
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A clear evaluation harness (offline + online) that prevents regressions and accelerates iteration.
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Voice features that ship reliably at scale with predictable latency.
What we're looking for
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Have 6–10+ years of experience shipping production systems with strong technical ownership.
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Are strong in applied ML/research engineering and can turn prototypes into robust product.
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Understand audio/voice fundamentals (signal processing basics helpful) and modern model/eval workflows.
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Care deeply about performance and reliability.
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Nice-to-haves
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Experience with streaming audio pipelines and real-time systems.
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Experience with LLM post-processing, structured extraction, and evaluation.
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Experience building tooling for labeling, dataset curation, and QA.
What we offer
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Work directly with us and learn fast
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Direct impact on how the company operates day to day
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High-trust, high-responsibility environment
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Competitive compensation
More at Pocket
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