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2 часа назад

Machine Learning Engineer (AI)

200 000 - 300 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Japan/SK +2 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Machine Learning Engineer (AI) (Speech Recognition): Training, deploying, and monitoring end-to-end ASR and pronunciation models for an AI-powered language learning application with an accent on large-scale deep learning, multilingual expansion, and product-focused model evaluation. Focus on building GPU-based models, creating performance metrics across languages, maintaining training and labeling infrastructure, and improving personalized learning experiences.

Location: San Francisco, CA, with a hybrid work arrangement

Salary: $200,000–$300,000 per year plus equity

Company

hirify.global builds an AI-powered, conversation-first language learning application with speech recognition, instant feedback, and personalized lessons across more than 15 languages.

What you will do

  • Train, deploy, monitor, evaluate, and retrain automatic speech recognition models end to end.
  • Improve pronunciation models that provide precise learner feedback.
  • 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.
  • Partner with Product teams to design learning experiences and measure the impact of production models on users.

Requirements

  • Extensive experience training large models on GPUs and deploying custom deep learning models.
  • Proficiency in Python and deep learning frameworks such as PyTorch.
  • Experience owning ML pipelines from proof of concept through production.
  • Strong communication skills and the ability to explain complex ML concepts to non-technical stakeholders.
  • Strong product sense and the ability to evaluate model quality in the context of user experience.

Nice to have

  • Experience with speech or audio.

Culture & Benefits

  • Join a small, dynamic, tight-knit engineering team during rapid growth.
  • Work on language learning products used by millions of people across more than 40 countries.
  • Collaborate with colleagues and users across San Francisco, Ljubljana, Seoul, Tokyo, and Taipei.
  • Opportunity to contribute to high-impact product and ML initiatives and travel to global offices.
  • Equity is included in the compensation package.

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