Machine Learning Engineer, Voice at Speak - ScoutJobs - The AI-curated global job board
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Posted 6 hours ago

Machine Learning Engineer, Voice

SpeakMachine Learning Engineer, Voice

Requirements

Experience training large models on GPUs, Proficiency in Python and PyTorch, End-to-end ML pipeline ownership, Strong communication skills, Product sense

Skills

PythonPyTorchASR

About the role

About the Company

Speak is building a human-level, AI-powered tutor that provides a conversation-first experience for language learners. With over $150m raised from investors like OpenAI and Accel, Speak is a leading AI company serving learners across 15+ languages globally.

Responsibilities

  • Train and deploy ASR models end-to-end, including monitoring, performance tracking, and retraining
  • Improve pronunciation models to provide precise feedback within the learning app
  • Create metrics to measure ASR performance across various tasks and languages
  • Expand ASR systems to new languages and markets
  • Build and maintain data infrastructure, including training/evaluation datasets and labeling pipelines

Requirements

  • Extensive experience training large models on GPUs
  • Experience deploying custom deep learning models
  • Proficiency in Python and PyTorch
  • Demonstrated experience owning ML pipelines from POC to production
  • Strong communication skills for explaining complex ML concepts to non-technical stakeholders
  • Sharp product sense regarding model quality and user experience

Preferred Qualifications

  • Experience with speech or audio processing
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Machine Learning Engineer, Voice

Speak · San Francisco

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