Machine Learning Engineer, Voice
$200k - $300k • San Francisco • FullTime
Posted 2y ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
Speak is seeking an experienced Machine Learning Engineer to develop cutting-edge speech recognition models for language learning. In this role, you will own the end-to-end modeling pipeline, from training and experimentation to deployment and monitoring. You will collaborate closely with Product teams to design innovative learning experiences and assess the impact of production models on users. This is an opportunity to join a dynamic team and contribute to revolutionizing language learning for millions worldwide.
Responsibilities
- Train and deploy ASR models end-to-end, including monitoring, performance tracking, and retraining.
- Improve the pronunciation model for precise feedback and integrate it more centrally into the learning app.
- Create metrics to measure ASR performance across various tasks and languages.
- Expand ASR systems to new languages and markets.
- Build and maintain data infrastructure, including 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 ability to explain complex ML concepts to non-technical stakeholders.
- Sharp product sense and ability to think broadly about model quality in the context of user experience.
- Experience with speech or audio (bonus).
Benefits
- Opportunity to join a fast-growing company with product-market fit.
- Work with a highly respected and enjoyable team.
- Global exposure with offices in multiple countries.
- Opportunity to travel.
- Make a significant impact on users' lives by improving language learning.