Lead Audio ML & Speech-to-Speech Researcher
Pre-train and distill foundation speech models for sub-150ms full-duplex conversational audio.
We're a small, high-density team of machine learning scientists, telephony engineers, and real-time systems architects building full-duplex conversational models for millions of phone calls.


Pre-train and distill foundation speech models for sub-150ms full-duplex conversational audio.
Architect high-throughput SIP carrier gateways and WebRTC audio proxies handling 50k+ concurrent calls.
Build low-latency audio streaming pipelines between carrier SIP trunks and inference clusters.
Develop our Prompt Lab IDE, audio waveform interfaces, and public client SDKs.
Deploy voice agents, PBX trunk bridges, and CRM integrations for high-volume enterprise clients.
Write custom Triton and CUDA kernels for streaming continuous speech generation on GPU clusters.
We are always looking for exceptional audio ML researchers, low-level Rust/C++ kernel hackers, and SIP telephony experts. Send your GitHub, code samples, or past project writeups to our founding team.