Research Engineer - Voice Intelligence

About Pocket

Take Notes in the Real World

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 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