Staff Applied Machine Learning Engineer
Tasks
- Analyze algorithm runtime complexity
- Build deploy and maintain enterprise machine learning products
- Communicate modeling decisions tradeoffs and limitations
- Design knowledge graphs and entity detection systems
- Integrate latest AI and machine learning advances
- Lead data driven algorithm development
- Lead machine learning model development
- Optimize machine learning model cost at production scale
- Own machine learning solutions end to end
- Support production systems debugging distributed system issues
Perks/Benefits
Skills/Tech-stack
Agentic AI | Algorithm Optimization | Context Management | Distributed Systems | Entity recognition | Knowledge graphs | Language Processing | Machine Learning | Model Deployment | Natural Language | Natural Language Processing | Orchestration | Production Monitoring | Reasoning | Semantic representation | Tool use
Education
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