Related skills
nlp python rag llm information retrieval📋 Description
- Design and evaluate information access + reasoning across RAG, agents, ML.
- Prototype GenAI workflows mapping controls ↔ risks ↔ requirements.
- Explore ML + probabilistic approaches where GenAI isn't best fit.
- Build and maintain evaluation frameworks with golden datasets.
- Implement and tune ranking/reranking systems.
- Collaborate with AI and Software Engineers for productionization.
🎯 Requirements
- 10+ years in applied research, data science, or ML focusing on NLP/IR.
- 2+ years building or contributing to production AI/ML systems.
- Strong foundation in information retrieval: dense and sparse retrieval, embeddings.
- Experience with RAG systems: chunking, vector databases, retrieval optimization.
- Proficiency in evaluation: metrics, golden datasets, A/B testing.
- Strong Python skills; notebook-driven research workflows.
🎁 Benefits
- Stock equity to share in company success.
- Health, dental, and vision coverage for you and dependents.
- 401(k) plan, life and disability insurance.
- Parental leave and family-building benefits.
- Professional development stipends and internal learning.
- Flexible time off and holidays.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!