ML Engineer
Manhattan Beach, California, United States
A USD 160K-250K (estimate) Senior-level Full Time
Tasks
- Architect AI speech solutions
- Build AI agents for audio inputs
- Build ML systems
- Collaborate with cross-functional teams
- Deploy data pipelines
- Deploy inference services
- Deploy production ML systems
- Design ML systems
- Develop audio ML models
- Extract insights from audio data
- Handle data acquisition and preprocessing
- Improve AI stack tooling
- Improve ML infrastructure scalability
- Monitor model performance
- Own model lifecycle
- Run real time inference
- Train and evaluate models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon S3 | Audio Machine Learning | Data pipeline | Data pipeline design | FastAPI | Feature Engineering | LLM | Language Processing | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | OpenAI APIs | Pipeline Design | PostgreSQL | PyTorch | Python | Real Time | Real-time Inference | Redis | Speech Processing | TensorFlow
Education
Regions
Countries
States
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