Experience Senior · 6+ yrs (6+ years)
About the role
structured by ORIPocketTake Notes in the Real WorldResearch Engineer - Voice Intelligence$200K - $300K•San Francisco, CA, USJob typeFull-timeRoleEngineering, Full stackExperience6+ yearsVisaUS citizen/visa onlyConnect directly with founders of the best YC-funded startups.Apply to role ›Gabriel DymowskiFounderGabriel…
What you will do
- 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 they are 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 have
- 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.
Benefits
- Work directly with us and learn fast
- Direct impact on how the company operates day to day
- High-trust, high-responsibility environment
- Competitive compensation
diarizationVADsignal processingapplied MLLLM
Full posting text
Experience: 6+ years
Salary: $200K–$300K.