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nlp python rag ranking models llm📋 Description
- Design and evaluate information access and reasoning for RAG, agents, ML
- Prototype GenAI workflows mapping controls, risks, requirements, evidence
- Explore ML and probabilistic approaches when GenAI isn’t best
- Build and maintain evaluation frameworks with golden datasets and metrics
- Implement and tune ranking/reranking with cross-encoders
- Run experiments to validate hypotheses before production rollout
🎯 Requirements
- 6+ years in applied research, data science, or ML with NLP/IR focus
- 2+ years building or contributing to production AI/ML systems
- Strong foundation in information retrieval: dense/sparse retrieval, embeddings
- Experience with RAG systems: chunking, vector databases, retrieval optimization
- Proficiency in evaluation methodology: metrics design, golden datasets, A/B testing
- Strong Python skills and notebook-driven research workflows
- Experience communicating findings to engineers and turning insights into actions
🎁 Benefits
- Shared Success: equity for employees
- Health & Wellness: 100% employer-paid premiums for medical, dental, and vision
- Financial Well-being: 401(k), life and disability insurance, tax-advantaged accounts
- Family Support: Parental Leave and family-building benefits
- Growth & Development: annual stipends for professional and personal development
- Time Off & Flexibility: flexible vacation policy and holidays
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