Staff / Principal Applied AI Researcher (Agentic Search)
Nebius — Amsterdam, North Holland, Netherlands · Hybrid · Staff+
Role description
Role Overview
Join a fast-growing team building an agent native search platform, a system designed for machines, not humans. Design and develop retrieval systems optimized for machine consumption, and develop ranking and retrieval approaches for multi-step, agent-driven workflows under real-world constraints.
What You Will Do
Design agent native retrieval systems, build systems where LLMs iteratively plan, query, refine, and reason over results, develop ranking and retrieval approaches for multi-step, agent-driven workflows, and lead experimentation on modern retrieval approaches.
Why It Might Be a Fit
This role comes with ownership over key parts of our applied AI research direction and system design, with a strong expectation of defining new approaches and shipping measurable impact in production. You will drive applied research and technical direction across retrieval and ranking systems, and mentor engineers to 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
Benefits
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams