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Machine Learning Engineer, Voice

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over 2 years ago
San Francisco, CA, USAMid Level / Senior
H1B Sponsor

Base Salary

$200k - $300k/yr

Responsibilities

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

Requirements

  • Extensive experience training large models on GPUs and deploying custom deep learning models.
  • Proficiency in Python and common Deep Learning frameworks like PyTorch.
  • Demonstrated experience owning ML pipelines end to end, from POC to production.
  • Strong communication skills to explain complex ML concepts to non-technical stakeholders.
  • Sharp product sense and ability to think broadly about model quality in user experience.
  • Bonus: Experience with speech or audio.

Benefits

  • Join a growing, tight-knit team at a pivotal time in the company's development.
  • Work with people you admire and respect, fostering a collaborative environment.
  • Opportunity to engage with users globally and travel to various markets.
  • Make a significant impact on people's lives by helping them learn a language.

Tech Stack

Categories

AI & MLData Engineering