ML Engineer
Cupertino, California, United States
A USD 140K-165K (estimate) Senior-level Full Time
Tasks
- Architect AI speech interaction solutions
- Build agents for real-world audio inputs
- Build and optimize data pipelines
- Collaborate with cross functional teams on AI stack
- Design production ML systems
- Develop audio ML models
- Extract insights from unstructured voice data
- Gather customer requirements and feedback
- Implement real-time inference
- Improve ML infrastructure scalability and performance
- Own end-to-end model lifecycle
- Train deploy and monitor ML models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon S3 | Data pipeline | Data pipeline design | Deep learning | FastAPI | Feature Engineering | Language Processing | Machine Learning | Model Evaluation | Model Monitoring | Model Training | Natural Language | Natural Language Processing | OpenAI APIs | Pipeline Design | PostgreSQL | PyTorch | Python | Real Time | Real-time Inference | Redis | Speech Recognition | TensorFlow
Education
Roles
Regions
Countries
States
Cities
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