Summary

Nebius is hiring a staff or principal applied ai researcher to build agent-native search systems for ai agents. The role focuses on retrieval, ranking, llm grounding, evaluation, and production systems operating at high scale under strict latency and reliability constraints. The working arrangement is not specified.

Responsibilities

• Drive applied research across retrieval and ranking systems
• Design multi-stage retrieval architectures
• Develop methods grounding llms in web data
• Define evaluation metrics for agentic systems
• Lead experiments on embeddings and reranking
• Analyze relevance latency and cost trade-offs
• Deploy low-latency systems with engineering