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