Nebius Group
1001 - 5000 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
Principal Applied AI Researcher – Agentic Search
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🔥 1 minute ago
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Nebius Group
1001 - 5000 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
📋 Description
• Design agent-native retrieval systems optimized for machine consumption rather than human search UX • Build systems where LLMs iteratively plan, query, refine, and reason over results • Develop ranking and retrieval approaches for multi-step, agent-driven workflows under real-world constraints • Drive applied research and technical direction across retrieval and ranking systems • Design and evolve multi-stage retrieval architectures, including query understanding, rewriting, reranking, and iterative retrieval • Develop methods for grounding LLMs in real-time web data at scale • Define and implement evaluation paradigms and metrics for agentic systems • Lead experimentation on embeddings, hybrid search, and reranking, bringing approaches into production • Analyze relevance, latency, and cost trade-offs at scale • Work with engineering to deploy systems in high-throughput, low-latency environments • Own ambiguous problems end to end and contribute to product and research direction • Mentor engineers 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 or AI systems to production at scale • Deep experience with search, retrieval, ranking, recommendation systems, or assistants • Strong understanding of modern deep learning, especially transformers and embeddings • Experience with LLM-integrated or knowledge-intensive systems • Experience designing evaluation frameworks and metrics for ML systems • Strong programming skills in Python and at least one of Go, C++, or similar • Ability to operate in a fast-moving, product-driven environment with high ownership and autonomy • Experience with large-scale search or recommendation systems • Background in agentic AI systems, including agents, tool use, or autonomous workflows • Experience with RAG, multi-step retrieval, or tool use • Publications, open source, or similar signals of technical depth and impact • Must be authorized to work in the country in which they apply and provide proof of employment eligibility
🏖️ 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 • Fast moving • Bold thinking • Constant growth • Meaningful impact • Trust and real ownership • Opportunity to shape the future of AI • Equal employment opportunities • Application process accommodations
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