ML Engineer
California, California, United States
A USD 150K-214K (estimate) Senior-level Full Time
Tasks
- Architect AI solutions for natural speech interaction
- Build ML data pipelines
- Build agents for real-world audio inputs
- Collaborate with cross functional teams on AI stack tooling
- Deploy and monitor ML models in production
- Design production ML systems
- Develop audio ML models for unstructured voice data
- Gather customer feedback and deliver solutions
- Improve ML infrastructure for scalability and performance
- Own model lifecycle from conception to deployment
- Train validate and evaluate ML models
Perks/Benefits
Skills/Tech-stack
AWS | Amazon S3 | Audio Processing | Data Pipelines | FastAPI | Feature Engineering | Language Processing | Machine Learning | Model Evaluation | Model Monitoring | Model Training | Natural Language | Natural Language Processing | OpenAI API | PostgreSQL | PyTorch | Python | Real Time | Real-time Inference | Redis | Speech Recognition | TensorFlow | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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