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Speak

AI-powered mobile app for English practice

Machine Learning Engineer - Voice

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$200k - $300k /yrHybrid

About the Job

Requirements

  • Extensive experience training large models on graphics processing units 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 the ability to explain complex machine-learning concepts to non-technical stakeholders.
  • Strong product sense and the ability to think broadly and cross-functionally about model quality in the context of user experience.

Responsibilities

  • Train and deploy automatic speech recognition models end to end, including monitoring, performance tracking, and retraining.
  • Improve the pronunciation model that provides precise feedback and make it more central to the learning app.
  • Create metrics to measure automatic speech recognition performance across tasks and languages.
  • Expand automatic speech recognition systems to new languages and markets.
  • Build and maintain data infrastructure, including training and evaluation datasets and labeling pipelines.
  • Work closely with Product teams to design learning experiences and measure the efficacy of production models for end users.
  • Contribute as a developer and thought partner on team projects such as automatic speech recognition, assessment, pronunciation, and content personalization.

Desired Qualifications

  • Experience with speech or audio.

About the Company

Speak

AI-powered mobile app for English practice

Speak provides an AI-powered mobile app for practicing English through realistic, simulated conversations without a live tutor. Users interact with the app to engage in everyday scenarios, and the AI analyzes responses to offer immediate feedback and personalized learning paths. The product operates on a subscription model with multiple tiers, plus potential in-app purchases or premium features, enabling users to learn at their own pace and schedule. What sets Speak apart from competitors is its ability to reproduce natural conversational practice through advanced AI combined with an easy-to-use mobile interface, removing the need for live tutoring. Speak’s goal is to make English learning more accessible and efficient for students and professionals around the world by providing flexible, on-demand practice anytime, anywhere.

Company size
201-500
Company stage
Series C
Total funding
$165.8M
Headquarters
San Francisco, CA
Founded
2015

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