Principal Applied Scientist
Tasks
- Collaborate with product and engineering
- Construct and evaluate training data
- Develop experimentation infrastructure
- Develop search engine metrics
- Drive planning documentation and communication
- Improve experimental codebase
- Lead AI research to production
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Systems | Agents | Artificial Intelligence | Async communication | Autoresearch | Data Filtering | Data Generation | Data collection | Dataset Construction | Evaluation | Experimentation | Hybrid search | Information Retrieval | LLM Prompts | Language Models | Large Language Models | Long Running Agents | Machine Learning | Parallel Experimentation | Retrieval-Augmented Generation | Task Specific Metrics
Education
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