Summary

Senior applied ml engineer role building and deploying models for retrieval, ranking, indexing, and agent-native search at Nebius. The position focuses on large-scale production search systems and llm-integrated applications; the working arrangement is not specified.

Responsibilities

• Design and deploy retrieval ml models
• Build embedding-based indexing systems
• Develop models for crawling and content understanding
• Define search quality metrics and evaluation pipelines
• Optimise high-throughput search query systems
• Integrate ml models into production services
• Analyse latency, quality, and cost trade-offs