Machine Learning Engineer, Voice

The role

You will develop speech recognition models to help teach language fluency. You will own the end-to-end modeling pipeline from training and experimentation to deployment and monitoring.

What you will do

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

Required qualifications

• 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

Nice to have

• Experience with speech or audio

About the company

Speak is building a human-level, AI-powered tutor that provides a conversation-first experience for language learners. It is one of the world's leading AI companies with a distributed team.