Senior Applied ML Engineer (Agentic Search)

ph3About Nebius: /h3pNebius 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. /ppBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. /ppListed 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. /ppWe 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. /ph3Your responsibilities: /h3ulliDesign, train, and deploy ML models for retrieval, reranking, and search relevance in production /liliBuild and optimise embedding-based indexing and large-scale retrieval systems /liliDevelop models supporting crawling, data selection, and content understanding /liliDefine and improve quality metrics for agent-native search and build evaluation pipelines /liliWork on systems operating at very large scale, including high-throughput query workloads /liliCollaborate closely with engineering teams to integrate ML models into production services /liliAnalyse performance trade-offs across latency, quality, and cost /liliExperiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems /liliContribute to product and architectural decisions in a fast-moving environment /li /ulh3Must-haves: /h3ulli5+ years of experience in software engineering or applied machine learning /liliStrong programming skills in Python, Go, or C++ /liliProven experience deploying ML models in production systems /liliHands-on experience with retrieval, ranking, recommendation, or similar ML problems /liliStrong understanding of machine learning and modern deep learning techniques /liliExperience working with large-scale data systems and high-throughput environments /liliAbility to design evaluation frameworks and define meaningful model metrics /liliProduct-oriented mindset with a focus on impact and iteration /liliStrong problem-solving skills and ability to work in a distributed team /li /ulh3Nice-to-haves: /h3ulliExperience with search systems or large-scale information retrieval /liliFamiliarity with embeddings, transformers, and modern NLP systems /liliExperience working on LLM-powered or agent-based systems /liliContributions to open-source projects, technical publications, or conference talks /liliParticipation in competitive ML (e.g. Kaggle) or similar signals of strong technical ability /li /ulpWe conduct coding interviews as part of the process. /ph3Benefits Perks: /h3ulliCompetitive compensation /liliCareer growth and learning opportunities /liliFlexibility and ownership /liliCollaborative and innovative culture /liliOpportunity to work on impactful AI projects /liliInternational environment and talented teams /li /ulh3What's it like to work at Nebius: /h3pFast moving- Bold thinking- Constant growth- Meaningful impact- Trust and real ownership- Opportunity to shape the future of AI /ph3Equal Opportunity Statement: /h3pNebius 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. /ppApplicants 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. /ppIf you need accommodations during the application process, please let us know. /p /p #J-18808-Ljbffr