{"id":2242014,"url":"https://alion.io/job/nebius-senior-ml-engineer-agentic-search-2","title":"Senior ML Engineer (Agentic Search)","company":{"id":6364,"name":"Nebius","domain":"nebius.com","url":"https://alion.io/company/nebius","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":78,"open_postings":131,"ghost_share":0,"stale_share":0.87,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-10-13T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Amsterdam, Netherlands","London, United Kingdom","Zurich, Switzerland"],"countries":["NL","GB","CH"],"hiring_countries":["GB","NL","CH"],"hiring_countries_total":3,"salary":null,"salary_estimate":{"min_usd":129000,"max_usd":326000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1986},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Embeddings","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Reranking","optional":false},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-03-30T12:57:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-13T21:27:27Z","board_verified":true,"closed_at":null,"days_open":197,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":196},"description":"About Nebius:\nNebius 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.\nBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\nListed 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.\nWe 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.\nYour responsibilities:\nDesign, train, and deploy ML models for retrieval, reranking, and search relevance in production\nBuild and optimise embedding-based indexing and large-scale retrieval systems\nDevelop models supporting crawling, data selection, and content understanding\nDefine and improve quality metrics for agent-native search and build evaluation pipelines\nWork on systems operating at very large scale, including high-throughput query workloads\nCollaborate closely with engineering teams to integrate ML models into production services\nAnalyse performance trade-offs across latency, quality, and cost\nExperiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems\nContribute to product and architectural decisions in a fast-moving environment\nMust-haves:\n5+ years of experience in software engineering or applied machine learning\nStrong programming skills in Python, Go, or C++\nProven experience deploying ML models in production systems\nHands-on experience with retrieval, ranking, recommendation, or similar ML problems\nStrong understanding of machine learning and modern deep learning techniques\nExperience working with large-scale data systems and high-throughput environments\nAbility to design evaluation frameworks and define meaningful model metrics\nProduct-oriented mindset with a focus on impact and iteration\nStrong problem-solving skills and ability to work in a distributed team\nNice-to-haves:\nExperience with search systems or large-scale information retrieval\nFamiliarity with embeddings, transformers, and modern NLP systems\nExperience working on LLM-powered or agent-based systems\nContributions to open-source projects, technical publications, or conference talks\nParticipation in competitive ML (e.g. Kaggle) or similar signals of strong technical ability\nWe conduct coding interviews as part of the process.\nBenefits & Perks:\nCompetitive compensation\nCareer growth and learning opportunities\nFlexibility and ownership\nCollaborative and innovative culture\nOpportunity to work on impactful AI projects\nInternational environment and talented teams\nWhat's it like to work at Nebius:\nFast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI \nEqual Opportunity Statement:\nNebius 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. 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