Machine Learning Engineer (Voice)

processing is a plus

• A passion for language learning and education
• Taking ownership of the end-to-end modeling pipeline for speech recognition models, from training and experimentation to deployment and monitoring.
• Collaborating with Product teams to design innovative learning experiences and measure the efficacy of production models.
• Building and maintaining data infrastructure such as training/evaluation datasets and labeling pipelines.
• Demonstrated experience owning ML pipelines end to end, from POC to production
• Sharp product sense and an ability to think broadly and cross-functionally about model quality in the context of user experience
• Proficiency in Python and common Deep Learning frameworks like PyTorch
• Strong communication skills and the ability to explain complex ML concepts to non-technical stakeholders
• Extensive experience training large models on GPUs and deploying custom deep learning models
• Experience with speech or audio