Staff / Principal Applied AI Researcher (Agentic Search)
Nebius · Amsterdam, Netherlands
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 designing and developing agent native retrieval systems optimized for AI consumption. Your role involves driving applied research in retrieval and ranking systems, creating multi-stage retrieval architectures, and working closely with engineering to deploy these systems in high throughput environments. You will also mentor engineers and contribute to the overall product and research direction.
- 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
- No salary listed
- Role involves high ownership and autonomy which may not suit everyone
- Focus on agentic AI systems may require specialized knowledge
- Fast-paced environment may lead to high pressure situations
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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