Applied AI Scientist
Tasks
- Build Retrieval Augmented Generation systems
- Collaborate with engineers on productionization
- Design research experiments
- Develop AI agent evaluation methods
- Implement LLM as a judge evaluation
- Influence system architecture and modeling decisions
- Prototype agentic research systems
- Translate research into production systems
Perks/Benefits
- Collaboration with Research Driven Engineering Culture
- Conference support
- Fast paced startup experience
- Publishing support
Skills/Tech-stack
Agentic Systems | Context compression | Data Analysis | Evaluation Pipelines | Faithfulness | Hallucination detection | Hybrid search | Information Retrieval | LLM-as-a-Judge | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-step reasoning | Natural Language | Natural Language Processing | Ontology | Python | Query rewriting | Re-ranking | Retrieval-Augmented Generation | Robustness Testing
Education
Roles
Regions
Countries
States
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