Staff AI Engineer (Audio)
Tasks
- Analyze data drift
- Build dashboards and analytics pipelines
- Build evaluation frameworks
- Deploy production ML models
- Design ML/DL models
- Implement mitigation strategies
- Investigate failure cases
- Monitor model performance in production
- Optimize audio deepfake detection models
- Run structured experimentation
- Set performance benchmarks and monitoring
Perks/Benefits
- 401k
- Commuter benefits
- Company offsite
- Daily lunch
- Dental/vision
- Equity compensation
- FSA/HSA
- Healthcare
- Learning & development budget
- Life insurance
- Paid time off
- Parental leave
- Remote Fridays
- Wellness benefits
Skills/Tech-stack
Audio Processing | Classification metrics | Data Drift | Data analytics | Datadog | Deep learning | JAX | MLOps | Machine Learning | Metabase | Model Benchmarking | Model Observability | Model Training | Precision-recall | PyTorch | Python | ROC-AUC | Signal Processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Research Engineer
Regions
Countries
States
Cities
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