Job Description
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.
Interview Process
- intro call
- technical screening
- onsite :)
- culture checkk
