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Research Engineer - Voice Intelligence

PocketSan Francisco, CA, USPosted 2mo ago
About Companies Library Partners Resources Startup Jobs Log in Apply Pocket Take Notes in the Real World Research Engineer - Voice Intelligence $200K - $300K • San Francisco, CA, US Job type Full-time Role Engineering, Full stack Experience 6+ years Visa US citizen/visa only Connect directly with founders of the best YC-funded startups. Apply to role › Gabriel Dymowski Founder About 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 About Pocket Pocket is a Y Combinator W26 company building a premium hardware plus software product in the AI voice recorder space. We are obsessed with quality and speed. We are scaling very fast in the US and now European markets and building a device experience that can become the category leader. Pocket Founded: 2024 Batch: W26 Team Size: 15 Status: Active Location: San Francisco       Founders Gabriel Dymowski   Founder Akshay Narisetti   Founder Similar Jobs Vulcan Technologies Deployed Agent Orchestrator CoLoop Product Engineer Moonset Health Product Engineer Pocket Engineering Generalist - Product Impact (Full Stack) Entangl Greg Brockman Clearline Software Engineering Intern/Co-op - 2026 Fall SalesPatriot Forward Deployed Engineer Ventura Founding Engineer Mosaic Engineering Intern Conveo Senior Full-Stack Engineer (React/Typescript) Convexia Founding Engineer 10x Science Founding Engineer AlgoTest Founding Full Stack Engineer AviaryAI Full Stack Engineer Tailor Senior Frontend Engineer (Australia - AEST, Remote) Spade Backend Engineer (Mid/Sr) Plexe Forward Deployed Engineer Booko Founding Product Engineer Vector Legal Founding Engineer Emergent Software Engineer - Infrastructure Footer Y Combinator Make something people want. Programs YC Program Startup School Work at a Startup Co-Founder Matching Resources Startup Directory Startup Library Investors Demo Day Safe Hacker News Launch YC YC Deals Company YC Blog Contact Press People Careers Privacy Policy Notice at Collection Security Terms of Use Twitter Facebook Instagram LinkedIn Youtube © 2026 Y Combinator
Research Engineer - Voice Intelligence at Pocket — whitecontext