All vacancies
Senior Applied ML Engineer (Agentic Search)
Nebius
Remote · EuropeSalary not disclosedfull-timeVerified recentlyOver a month oldNebius Careers
We are seeking a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time.
Responsibilities
- Design, train, and deploy ML models for retrieval, reranking, and search relevance in production
- Build and optimise 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 and build evaluation pipelines
- Work on systems operating at very large scale, including high-throughput query workloads
- Collaborate closely with engineering teams to integrate ML models into production services
- Analyse performance trade-offs across latency, quality, and cost
- Experiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems
- Contribute to product and architectural decisions in a fast-moving environment
Languages
- Work format
- Remote
- Seniority
- Senior
- Posted
- 30 Mar 2026 (6mo ago)
- Last verified
- 4 Oct 2026