ML Engineer
San Francisco, California, United States
A USD 150K-214K (estimate) Senior-level Full Time
Tasks
- Build natural speech interaction solutions
- Collaborate on AI stack foundations and tooling
- Create agents for real world audio inputs
- Deliver real world customer solutions
- Design production ML systems
- Develop audio ML models for unstructured voice data
- Improve ML infrastructure for scalability and performance
- Own model lifecycle end to end
- Run data acquisition preprocessing training deployment inference monitoring
Perks/Benefits
Skills/Tech-stack
AWS | Audio signal processing | Baseten | Data Pipelines | FastAPI | Feature Engineering | LLM | Language Models | Language Processing | Large Language Models | Litellm | Livekit | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | OpenAI API | PostgreSQL | PyTorch | Python | Real Time | Real-time Inference | Redis | S3 | Signal Processing | TensorFlow
Education
Regions
Countries
States
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