Applied Audio ML Engineer
Tasks
- Assess model quality for user experience and business value
- Build resilient inference and evaluation systems
- Develop production inference pipelines and APIs
- Gather training and evaluation datasets with operations team
- Research and implement speech and audio models
- Translate research ideas into production ready code
Perks/Benefits
Skills/Tech-stack
Audio signal processing | Cloud Computing | Data Pipelines | Deep learning | Machine Learning | Model Evaluation | PyTorch | Python | Signal Processing | Speech Processing | TorchScript
Education
Regions
Countries
States
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