ML Engineer
Palo Alto, California, United States
A USD 140K-165K (estimate) Senior-level Full Time
Tasks
- Acquire and preprocess audio data
- Architect AI solutions for speech interaction
- Build and improve AI stack tooling
- Build and optimize audio ML models
- Collaborate with cross-functional teams
- Design production ML systems
- Design scalable data pipelines
- Develop agents for real world audio inputs
- Gather customer feedback and requirements
- Monitor ML models in production
- Own ML model lifecycle
- Run real time inference
- Train and deploy ML models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Audio Machine Learning | Data pipeline | FastAPI | Feature Engineering | Machine Learning | Model Evaluation | Model Monitoring | OpenAI API | PostgreSQL | PyTorch | Python | Real Time | Real-time Inference | Redis | S3 | TensorFlow | TypeScript
Education
Regions
Countries
States
Cities
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