Design and optimize real-time speech-to-text pipelines (ASR, VAD)
Improve transcription accuracy via context injection (names, teams, vocab)
Develop and maintain LLM-powered post-processing (grammar, filler removal)
Build voice-to-action systems that parse natural language into workspace commands
Evaluate and integrate ASR models (Whisper, AssemblyAI, Fireworks) for cost and latency
Explore multimodal AI (screen/voice/text) for next-gen assistant experiences

🎯 Requirements

Real-time speech-to-text pipeline design and optimization
Experience with ASR models and audio processing
Experience with LLMs and NLP tasks
Proficiency in benchmarking ML models and evaluating cost/latency
Design voice-driven actions and command parsing
Cross-functional collaboration with product/platform teams

🎁 Benefits

Equal Opportunity Employer
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Visa sponsorship for eligible engineering/product roles (not guaranteed)

🛃 Visa sponsorship

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