ML Engineer
San Francisco, California, United States
A USD 110K-110K (estimate) Senior-level Full Time
Tasks
- Architect natural speech interaction solutions
- Build and optimize audio ML models
- Build data pipelines for training and evaluation
- Collaborate on AI stack tooling and scalability
- Deploy models for real-time inference
- Design production ML systems
- Develop agents for real world audio inputs
- Gather customer requirements and deliver solutions
- Monitor models in production
- Own model lifecycle end to end
Perks/Benefits
Skills/Tech-stack
AWS | Audio Machine Learning | Data Pipelines | FastAPI | Feature Engineering | Infrastructure | LLM | Machine Learning | Model Deployment | Model Monitoring | OpenAI APIs | PostgreSQL | PyTorch | Python | Real Time | Real-time Inference | Redis | S3 | Speech Processing | TensorFlow
Education
Regions
Countries
States
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