Applied Scientist II
Tasks
- Analyze experimental results
- Collaborate with engineering partners to deploy model improvements
- Develop retrieval ranking and relevance systems
- Document research findings and experimental results
- Improve retrieval fidelity and reduce hallucinations
- Mentor peers and participate in technical deep dives
- Monitor and evaluate model performance with metrics
- Refine RAG pipelines
- Translate research into production experiments
Perks/Benefits
- N/A
Skills/Tech-stack
C# | C++ | Java | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Python | Quantitative Analysis | RAG | Ranking | Relevance | Retrieval
Education
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