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