Applied ML Engineer, Speech

• Training and deploying ASR models end-to-end, including monitoring, performance tracking, and retraining
• Improving the pronunciation model that provides precise feedback, and make it more central to our learning app
• Creating metrics to measure ASR performance across tasks and languages
• Expanding our ASR systems to new languages and markets
• Building and maintaining data infrastructure such as training/evaluation datasets and labeling pipelines

• 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 and the ability to explain complex ML concepts to non-technical stakeholders
• Sharp product sense and an ability to think broadly and cross-functionally about model quality in the context of user experience

Experience with speech or audio

• Offers Equity
• Join a fantastic, tight-knit team at the right time
• Do your life's work with people you’ll love working with
• Global in nature
• Impact people's lives in a major way