Machine Learning Engineer, Voice

What you'll do

• Train, deploy, monitor, and retrain ASR models; track model performance.
• Improve pronunciation feedback and create ASR performance metrics across tasks and languages.
• Expand ASR to new languages and markets, and build training/evaluation datasets and labeling pipelines.

What they ask for

• Extensive experience training large models on GPUs and deploying custom deep learning models.
• Proficiency in Python and common deep learning frameworks such as PyTorch.
• Demonstrated ownership of ML pipelines from proof of concept to production.
• Strong communication skills and ability to explain complex ML concepts to non-technical stakeholders.

Nice to have

• Experience with speech or audio.

Pay

$200K – $300K USD base salary

Tools

Python, PyTorch, GPUs

AI focus

Develops speech recognition and pronunciation models, including model training, deployment, monitoring, and retraining.