Audio ML Engineer II
Tasks
- Benchmark and evaluate model performance
- Collaborate with product and engineering teams to validate production performance
- Implement mitigation strategies to improve model robustness
- Investigate failure cases and build custom evaluation frameworks
- Iterate models for compression noise telephony and streaming conditions
- Present technical findings to internal stakeholders
- Tune and optimize machine learning models for production audio deepfake detection
Perks/Benefits
- 401k
- Commuter benefits
- Company offsite
- Daily in office lunch
- Dental and vision
- Equity compensation
- FSA/HSA
- Happy hours
- Healthcare
- Learning and development
- Life insurance
- Long-term disability
- Paid time off
- Parental leave
- Remote Fridays
- Short-term disability
- Wellness benefits
Skills/Tech-stack
Audio Processing | Benchmarking | Classification | DET Curves | Deep learning | JAX | Machine Learning | Model Evaluation | Model Robustness | Precision-recall | PyTorch | Python | ROC curves | Signal Processing | Training pipelines
Education
Roles
Regions
Countries
States
Cities
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