Senior ML Engineer (Agentic Search)

h3About Nebius /h3 pNebius 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. /p pBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. /p pListed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with RD 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 RD. /p pWe 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. This is a high-impact role working on a production system used 24x7, tackling challenges comparable to large-scale web search. /p h3Your Responsibilities /h3 ul liDesign, train, and deploy ML models for retrieval, reranking, and search relevance in production /li liBuild and optimise embedding-based indexing and large-scale retrieval systems /li liDevelop models supporting crawling, data selection, and content understanding /li liDefine and improve quality metrics for agent-native search and build evaluation pipelines /li liWork on systems operating at very large scale, including high-throughput query workloads /li liCollaborate closely with engineering teams to integrate ML models into production services /li liAnalyse performance trade-offs across latency, quality, and cost /li liExperiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems /li liContribute to product and architectural decisions in a fast-moving environment /li /ul h3Must-haves /h3 ul li5+ years of experience in software engineering or applied machine learning /li liStrong programming skills in Python, Go, or C++ /li liProven experience deploying ML models in production systems /li liHands-on experience with retrieval, ranking, recommendation, or similar ML problems /li liStrong understanding of machine learning and modern deep learning techniques /li liExperience working with large-scale data systems and high-throughput environments /liliAbility to design evaluation frameworks and define meaningful model metrics /li liProduct-oriented mindset with a focus on impact and iteration /li liStrong problem-solving skills and ability to work in a distributed team /li /ul h3Nice-to-haves /h3 ul liExperience with search systems or large-scale information retrieval /li liFamiliarity with embeddings, transformers, and modern NLP systems /li liExperience working on LLM-powered or agent-based systems /li liContributions to open-source projects, technical publications, or conference talks /li liParticipation in competitive ML (e.g. Kaggle) or similar signals of strong technical ability /li /ul pWe conduct coding interviews as part of the process. /p h3Benefits Perks /h3 ul liCompetitive compensation /li liCareer growth and learning opportunities /li liFlexibility and ownership /li liCollaborative and innovative culture /li liOpportunity to work on impactful AI projects /li liInternational environment and talented teams /li /ul h3What's It Like To Work At Nebius /h3 pFast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI /p h3Equal Opportunity Statement /h3 pNebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. /p pApplicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. /p pIf you need accommodations during the application process, please let us know. /p #J-18808-Ljbffr