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Applied ML Engineer, Voice agents

Make our voice agents better at the hardest conversations in healthcare: hold music, IVRs, accents, interruptions and a receptionist having a bad day.

What you'll do

  • Improve ASR robustness on real telephony audio; build the hold/IVR/voicemail classifiers.
  • Design conversation policies as explicit state machines with LLM-generated turns, and evaluate them offline and online.
  • Build the eval suite: transcripts, outcomes, specialist labels. Own the metrics.
  • Ship weekly. Listen to the calls.

What we're looking for

  • Experience with speech systems in production (ASR, TTS, or dialogue).
  • Strong Python and PyTorch; comfortable with data pipelines and evals.
  • You can read a transcript and know why the call failed.
  • Bonus: telephony (SIP, WebRTC) experience.

How we hire

Four steps, two weeks if you want it that fast. A 30-minute call with the hiring manager. A practical exercise related to the role (paid, if it takes more than two hours). A half-day with the team, in person or remote, including a session listening to real retrieval calls. Then references and an offer.

Benefits

  • Meaningful equity at a seed-stage company
  • Full health coverage for you and dependents
  • Paris and Boston offices, or remote within EU / US time zones
  • Six weeks' leave, plus local public holidays
  • Annual learning budget, hardware of your choice, relocation support

Apply

Thanks, there.

We read every application ourselves and reply within a week, either way.