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.