Senior Voice Intelligence Research Engineer

Pocket Worlds; San Francisco (CA); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation

Direct impact on day-to-day operations

High-trust, high-responsibility

Learn fast

Job summary

Pocket Worlds is seeking a research-minded engineer to advance our voice stack from capture and understanding to real-time experiences and evaluation. You will own improvements to diarization, VAD, noise robustness, transcription quality, and speaker ID, and you will help build memory, summaries, and action extraction features that feel immediately valuable.

You’ll run tight research loops, define metrics and eval sets, and productionize what works, while collaborating with product and design to

Qualifications

• 6–10+ years of experience shipping production systems.
• Strong in applied ML/research engineering and turning prototypes into robust product.
• Understand audio/voice fundamentals (signal processing basics helpful).
• Care deeply about performance and reliability.

Responsibilities

• Invent and ship improvements to 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.

Skills

Production systems ownership

Applied ML / research engineering

Audio fundamentals

Performance & reliability

Job description

Pocket Worlds is seeking a research-minded engineer to advance our voice stack from capture and understanding to real-time experiences and evaluation. You will own improvements to diarization, VAD, noise robustness, transcription quality, and speaker ID, and you will help build memory, summaries, and action extraction features that feel immediately valuable.

You’ll run tight research loops, define metrics and eval sets, and productionize what works, while collaborating with product and design to