Senior Applied Scientist
Tasks
- Apply fairness bias and privacy considerations
- Apply research to improve search relevance
- Architect RAG pipelines
- Build and optimize retrieval ranking and relevance systems
- Collaborate with engineering to deploy model improvements
- Conduct hypothesis driven reproducible experimentation
- Define data requirements for complex problems
- Design and evaluate LLM post training and alignment
- Develop machine learning research methods
- Mentor peers and support onboarding
- Monitor and evaluate model performance
- Run experiments and analyze results
Perks/Benefits
- N/A
Skills/Tech-stack
Experimentation | Information Retrieval | Language Models | Language Processing | Large Language Models | Machine Learning | Model Alignment | Model Evaluation | Natural Language | Natural Language Processing | Quantitative Analysis | Ranking algorithms | Reinforcement Learning | Reproducibility | Retrieval-Augmented Generation
Education
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