Research Scientist
Tasks
- Build datasets for identifying and analyzing LLM failure modes
- Build software for fine tuning evaluation and deployment
- Collaborate on information retrieval agentic search and RAG evaluation
- Communicate research findings through publications
- Contribute to design and code reviews and engineering best practices
- Design data collection curation and structuring pipelines
- Lead research and implement reasoning enhanced LLM capabilities
- Prototype tools APIs and infrastructure for LLM external reasoning
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Data Pipelines | Debugging | Fine Tuning | Information Retrieval | Knowledge graphs | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Optimization | Natural Language | Natural Language Processing | Prompt engineering | Python | Retrieval-Augmented Generation | Semantic Search | Tooling
Education
Regions
Countries
States
Cities
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