Applied ML Engineer, Speech
San Francisco$140k - $240kfull-timePosted 11mo ago
About the role
An experienced Machine Learning Engineer role focused on speech recognition models to develop a personalized language learning application.
Responsibilities
- Training and deploying ASR models end-to-end, including monitoring, performance tracking, and retraining.
- Improving the pronunciation model to provide 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.
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.
Skills
Required:Deep LearningPython
Last updated Mar 18, 2026. Interested? Apply on the company site.
About Speak
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