Machine Learning Engineer, Voice
About the role
We are looking for an experienced Machine Learning Engineer to join our team and help develop cutting-edge speech recognition models that help teach language fluency. In this role you will take ownership of the end-to-end modeling pipeline, from training and experimentation to deployment and monitoring. You will also work closely with Product teams to design innovative learning experiences and measure the efficacy of production models as they affect our end users.
Responsibilities
- 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
Requirements
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
Qualifications
Bonus experience with speech or audio
Skills
Experience with speech or audio
Benefits
Join a fantastic, tight-knit team at the right time: we're growing very quickly, we've most recently raised our Series C from some of the top investors in the valley, and we've achieved product-market fit in our initial markets.
Pay
N/A
Schedule
N/A