ML Engineer
Seattle, Washington, United States
A USD 140K-165K (estimate) Senior-level Full Time
Tasks
- Architect AI solutions for natural speech interaction
- Build agents for real-world audio inputs
- Build scalable data pipelines for training and evaluation
- Collaborate to improve AI stack tooling and infrastructure
- Design production-grade ML systems
- Develop and optimize audio ML models
- Engage with customers to gather feedback and deliver solutions
- Extract business insights from unstructured voice data
- Implement data acquisition preprocessing training deployment inference monitoring
- Monitor and improve ML infrastructure performance scalability
- Own end-to-end model lifecycle
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Audio Processing | Data Pipelines | FastAPI | Feature Engineering | LLM | Language Processing | Machine Learning | Model Deployment | Model Inference | Model Monitoring | Model Training | Natural Language | Natural Language Processing | OpenAI API | PostgreSQL | PyTorch | Python | Real Time | Real-time Inference | Redis | S3 | Speech Recognition | TensorFlow
Education
Roles
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