First ML engineer

Machine Learning Engineer (Audio Training) We’re building human-like, real-time voice models focused on natural turn-taking, interruption handling, and low-latency speech. What you’ll do Design and generate conversational audio training data Train and fine-tune audio / speech models Build evaluation for latency, overlap, and interruption Own the loop: data → training → eval → production What we’re looking for Strong ML background (PyTorch) Experience with audio or speech models Solid intuition for timing, latency, and real-time systems Startup / ownership mindset Nice to have TTS, ASR, speech-to-speech, or streaming inference experience Competitive comp + meaningful equity. Founding-level ownership.