Speak

Machine Learning Engineer, Voice

Speak
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over 2 years ago

Base Salary

$200k - $300k/yr

Responsibilities

  • Train and deploy ASR models end to end, including monitoring, performance tracking, and retraining.
  • Improve the pronunciation model and integrate it more centrally into the learning application.
  • Create metrics to measure ASR performance across tasks and languages.
  • Expand ASR systems to new languages and markets.
  • Build and maintain training and evaluation datasets and labeling pipelines.
  • Work with Product teams to design learning experiences and measure the effectiveness of production models.

Requirements

  • Extensive experience training large models on GPUs and deploying custom deep learning models.
  • Proficiency in Python and common deep learning frameworks such as PyTorch.
  • Demonstrated experience owning machine learning pipelines end to end, from proof of concept to production.
  • Strong communication skills and ability to explain complex machine learning concepts to non-technical stakeholders.
  • Strong product sense and ability to evaluate model quality in the context of user experience and collaborate cross-functionally.
  • Experience with speech or audio is a bonus.

Benefits

  • Opportunity to join a rapidly growing, venture-backed AI company at an early and high-impact stage.
  • Distributed global team with offices in San Francisco, Ljubljana, Seoul, and Tokyo.
  • Opportunity to work with users across more than 40 countries and travel between regions.
  • San Francisco, California office location.

Tech Stack

Categories

Speak

About Speak

201-500 employees

Speak builds an AI-powered language learning app that offers conversation practice, instant feedback, and structured lessons for consumers via a subscription. Headquartered in San Francisco, it first launched in South Korea in 2019 and now supports learners across many markets and 15+ languages. The company is privately held and focuses on speech recognition and tutoring experiences on mobile.

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