Senior ML Engineer (Agentic Search)

<div class="content-intro"><p><strong>About Nebius:</strong></p> <p>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.</p> <p>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.</p> <p>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.</p></div><p></p> <p data-renderer-start-pos="758" data-local-id="d0fee024b0a0">We are seeking a Senior ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. Our focus is agentic search, where AI systems plan, retrieve and refine rather than just return results.</p> <p data-renderer-start-pos="1023" data-local-id="4b4976a666d5">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.</p> <p data-renderer-start-pos="1198" data-local-id="aff7e131a21d">This is a high-impact role working on a production system used 24x7, operating at the scale of web search.</p> <p data-renderer-start-pos="1306" data-local-id="16252c41d0a1"><strong data-renderer-mark="true">Your responsibilities:</strong></p> <ul class="ak-ul" data-local-id="4289357d-84d6-4fd0-9d62-18599dddcd3f" data-indent-level="1"> <li> <p data-renderer-start-pos="1332" data-local-id="2d689bbe1b2b">Train and deploy ML models for retrieval, reranking, and search relevance, such as embedding models and cross-encoders, in production</p> </li> <li> <p data-renderer-start-pos="1469" data-local-id="421a45977065">Develop models supporting crawling, data selection, and content understanding</p> </li> <li> <p data-renderer-start-pos="1550" data-local-id="4ad25b8e950c">Build and maintain the data, training and evaluation pipelines behind our models: training-data generation, evaluation sets and retraining</p> </li> <li> <p data-renderer-start-pos="1692" data-local-id="dbd2148b4bdd">Contribute to and improve our ML platform: training and orchestration workflows (Kubernetes, GPU scheduling, experiment tracking, model lifecycle) and inference optimisation for low-latency serving</p> </li> <li> <p data-renderer-start-pos="1893" data-local-id="a564a83f5bee">Work closely with engineering to integrate and deploy ML models in production services, balancing latency, quality and cost</p> </li> <li> <p data-renderer-start-pos="2020" data-local-id="964bfc5ebf9b">Apply the latest architectural advances and training procedures for retrieval and LLM-integrated systems</p> </li> </ul> <p data-renderer-start-pos="2128" data-local-id="f679df6a6eef"><strong data-renderer-mark="true">Must-haves:</strong></p> <ul class="ak-ul" data-local-id="57550eea-3a27-4e1e-afaa-a51e01378f4e" data-indent-level="1"> <li> <p data-renderer-start-pos="2143" data-local-id="3b2cf2f74e24">5+ years of experience in software engineering or applied machine learning</p> </li> <li> <p data-renderer-start-pos="2221" data-local-id="681fa29c2622">Strong programming skills in Python and at least one of Go or C++</p> </li> <li> <p data-renderer-start-pos="2290" data-local-id="30dffe7a2c92">Proven experience deploying ML models in production systems</p> </li> <li> <p data-renderer-start-pos="2353" data-local-id="3e2c37a2c1ad">Solid understanding of machine learning and modern deep learning, including transformers and embeddings</p> </li> <li> <p data-renderer-start-pos="2460" data-local-id="86a16ff52292">Experience building data or ML pipelines and working with workflow orchestration</p> </li> <li> <p data-renderer-start-pos="2544" data-local-id="3f4642066435">Ability to define meaningful model metrics and evaluate models rigorously</p> </li> <li> <p data-renderer-start-pos="2621" data-local-id="a041b6560021">Product-oriented mindset with a focus on impact and iteration</p> </li> </ul> <p data-renderer-start-pos="2686" data-local-id="1cc4b1d0b537"><strong data-renderer-mark="true">Nice-to-haves:</strong></p> <ul class="ak-ul" data-local-id="573214b8-8fce-4eb5-92f9-5f92e638d6e3" data-indent-level="1"> <li> <p data-renderer-start-pos="2704" data-local-id="93c1519075cc">Hands-on experience with retrieval, ranking, or recommendation</p> </li> <li> <p data-renderer-start-pos="2770" data-local-id="6af7ff214db2">Experience with Kubernetes, distributed training or GPU scheduling, or inference optimisation (batching, quantisation, compilation)</p> </li> <li> <p data-renderer-start-pos="2905" data-local-id="6695aa4233d6">Contributions to open-source projects, technical publications, or conference talks</p> </li> <li> <p data-renderer-start-pos="2991" data-local-id="cd02a9a17637">Strong results on public benchmarks or leaderboards (e.g. <span data-highlighted="true" data-vc="highlighted-text"><span class="_1mT5xdRAKS"><span class="_0nmozVaHVx _2V7sgO2M4S _3BoeIDwZ7G _30zrXRyxdf _0ReiI