נכון לתאריך
24/11/2025
תל אביב
IBM
Our group focuses on advanced retrieval for AI agents: building methods that let agents pull information from structured data (SQL/JSON) and unstructured data (text, tables, images), correlate between sources, and generate reliable answers. It’s a place where strong researchers work together, and a great environment to grow.
You’ll work with senior researchers on new retrieval methods for LLM-based systems, such as:
Implementing and testing retrieval pipelines
Exploring hybrid retrieval over structured + unstructured sources
Helping design multi-step agentic retrieval flows
Running experiments, analyzing results, and supporting benchmark creation
Contributing ideas to improve accuracy, speed, and robustness
MSC/PHD Student in CS / Software Engineering / Information Systems
Strong coding skills and passion for AI
Python experience
Experience with LangChain or LLM tooling – advantage
RAG knowledge – advantage
Curiosity, initiative, and willingness to explore
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