Research Engineer - Voice Intelligence

San Franciscofull timeOn Site

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senior

$200k–$300k

H1B: no

Pocket Research Engineer at Pocket focuses on improving voice intelligence through end-to-end voice stack enhancements and building voice-powered product capabilities. Responsible for research, evaluation, and productionizing voice models and algorithms.

Responsibilities

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.
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.

Qualification

Experience with LLM post-processing

Required

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.

Preferred

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.

Benefits

Competitive compensation

Company

Pocket

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Source: ashby

Active within the past hour

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Must-Have Skills for This Role

diarizationVADtranscriptionspeaker IDstreaming pipelinesLLM post-processing

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Research Engineer - Voice Intelligence at Pocket · LumiJobs