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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