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AIRemote (Global)Full-time

ML Engineer - Voice AI

Build and deploy ML models for answering machine detection (AMD), sentiment analysis, call scoring, and real-time voice transcription. You will work at the intersection of speech processing and production engineering.

Responsibilities

  • Train and deploy AMD models with p99 latency under 3500ms
  • Build real-time transcription and sentiment analysis pipelines
  • Develop call quality scoring models using MOS and jitter metrics
  • Optimize model inference for edge deployment on Supabase Functions
  • Collaborate with the platform team to integrate ML into the dialer pipeline

Requirements

  • 3+ years ML engineering with production model deployment
  • Experience with speech/audio processing (ASR, TTS, speaker diarization)
  • Proficiency in Python and familiarity with TypeScript
  • Knowledge of model serving (ONNX, TensorRT, or similar)
  • Published research or significant open-source contributions are a plus