2 часа назад
Machine Learning Engineer (AI)
200 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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