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Staff / Principal Applied AI Researcher – Agentic Search

21 hours, 14 minutes ago
Europe, United Kingdom, Netherlands
Full-time
Lead
AI Research Scientist
Software Development
C++ Deep Learning Go LLM Machine Learning Python Transformers
Apply Now
Nebius

Nebius

Nebius enables B2B companies to build local hyperscaling cloud platforms with cost-effective GPUs, InfiniBand network, and 50% less compute cost. They offer managed Kubernetes and a launch-ready business model for innovative cloud solutions.

Internet Software & Services
51-250
View All Jobs 182

Description

  • Drive applied research across retrieval, ranking, and agent-centric search systems.
  • Design and evolve multi-stage retrieval systems including query understanding, rewriting, reranking, and iterative retrieval.
  • Develop methods for grounding LLMs in real-time web data at scale.
  • Define evaluation frameworks and quality metrics for agent-native workloads.
  • Lead experimentation on modern retrieval approaches such as hybrid search, embeddings, and cross-encoders.
  • Work closely with engineering to bring research into production in high-throughput systems.
  • Analyze trade-offs across relevance, latency, and cost at scale.
  • Contribute to long-term research and product direction.
  • Mentor engineers and researchers and help raise the technical bar of the team.

Requirements

  • 8+ years of experience in applied AI, ML, or software engineering.
  • Proven track record of shipping ML/AI systems into production at scale.
  • Deep experience in search, retrieval, ranking, recommendation systems, or assistants.
  • Strong understanding of modern deep learning, including transformers, embeddings, and ranking models.
  • Experience working on LLM-integrated or knowledge-intensive systems.
  • Experience designing evaluation frameworks and metrics for ML systems.
  • Strong programming skills in Python plus at least one of Go, C++, or a similar language.
  • Ability to operate in a product-driven, fast-moving environment.
  • Strong ownership and ability to drive ambiguous problems end-to-end.
  • Experience with large-scale search systems such as web search, ads, marketplaces, or assistants.
  • Background in agentic AI systems, such as coding agents, research agents, or tool use.
  • Experience with RAG systems, multi-step retrieval, and tool use.
  • Familiarity with query understanding, personalization, or recommendation systems.
  • Publications, conference talks, or open-source contributions.

Benefits

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Flexible working arrangements.
  • A dynamic and collaborative work environment that values initiative and innovation.

Interested in this position?

Apply directly on the company website

Apply Now

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