Senior Applied ML Engineer (Agentic Search)

## About Nebius Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. ## 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 ## Requirements - 5+ years of experience in software engineering or applied machine learning - Strong programming skills in Python, Go, or C++ - Proven experience deploying ML models in production systems - Hands-on experience with retrieval, ranking, recommendation, or similar ML problems - Strong understanding of machine learning and modern deep learning techniques - Experience working with large-scale data systems and high-throughput environments - Ability to design evaluation frameworks and define meaningful model metrics - Product-oriented mindset with a focus on impact and iteration - Strong problem-solving skills and ability to work in a distributed team ## Nice to Have - Experience with search systems or large-scale information retrieval - Familiarity with embeddings, transformers, and modern NLP systems - Experience working on LLM-powered or agent-based systems - Contributions to open-source projects, technical publications, or conference talks - Participation in competitive ML (e.g. Kaggle) or similar signals of strong technical ability ## Benefits & Perks - Competitive compensation - Career growth and learning opportunities - Flexibility and ownership - Collaborative and innovative culture - Opportunity to work on impactful AI projects - International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace.