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Nebius

Staff / Principal Applied AI Researcher (Agentic Search)

Nebius · Remote - Europe

Posted about 3 months ago

or apply directly on Nebius's site. We never take the application ourselves.

Is this posting real?

This role has been open
75 days
Nebius's roles stay open a median of 80 days
Reposted
No
Salary listed
No
9% of Nebius's roles list one
Ghost-job risk at Nebius
high
369 stale, 17 reposted of 384 open
Hiring momentum
508 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Nebius's own greenhouse board since 2026-08-03. Full hiring picture for Nebius.

About this role

As a Staff Applied AI Researcher at Nebius, you will focus on developing an agent native search platform designed for AI systems to retrieve and evaluate information autonomously. Your responsibilities will include designing retrieval systems optimized for machine consumption, developing ranking approaches for agent-driven workflows, and leading applied research in retrieval and ranking systems. You will also mentor engineers and contribute to both product and research directions.

Our read on this posting2.8out of 5
benefits
3/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Nebius as an employer.

What you need

  • 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

Nice to have

  • Experience with large scale search or recommendation systems
  • Background in agentic AI systems (agents, tool use, autonomous workflows)
  • Experience with RAG, multi step retrieval, or tool use
  • Publications, open source, or similar signals of technical depth and impact

What you get

  • 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

Worth weighing

  • Role involves significant ownership and autonomy, which may not suit everyone
  • Focus on agentic AI systems may require niche expertise
  • No specific salary or compensation details provided

Summarised from Nebius's posting. Read the full original.

Listed by Nebius on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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