Senior Applied ML Engineer (Agentic Search)

Nebius is seeking a Senior Applied ML Engineer to build an agent-native search platform for AI systems. You will develop and deploy machine learning models for retrieval, ranking, and indexing at scale, working on a critical production system. This role involves designing, training, and optimizing ML models to help AI systems access real-time information.

• Design, train, and deploy ML models for retrieval, reranking, and search relevance
• Build and optimize embedding-based indexing and large-scale retrieval systems
• Develop models supporting crawling, data selection, and content understanding
• Define and improve quality metrics for agent-native search
• Work on systems operating at very large scale with high-throughput query workloads
• Analyze performance trade-offs across latency, quality, and cost

• Must be authorized to work without sponsorship.