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Senior ML Engineer (Agentic Search)

Nebius· Agentic Search
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Hybrid (Amsterdam; London; remote - Europe; Zurich)full-timePosted 4d ago

About the role

Senior ML Engineer to build an agent-native search platform for AI systems, focusing on retrieval, ranking, and indexing at scale. Production system used 24x7 with high-impact, large-scale web-search-like challenges.

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

Qualifications

  • 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

Skills

Required:Retrieval, ranking, or similar ML problemsML model design and deploymentEmbedding-based indexingEvaluation framework designPython, Go, or C++

Benefits

  • 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
Last updated Oct 21, 2026. Interested? Apply on the company site.
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