Senior Applied AI Researcher for Production-Scale Retrieval

Nebius

Zürich

Vor Ort

CHF 210.000 - 280.000

Vollzeit

Vor 10 Tagen
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Benefits dieser Stelle

Competitive compensation
Career growth
Flexibility and ownership
Collaborative and innovative culture
Impactful AI projects
International environment

Zusammenfassung

Nebius is building a full-stack AI cloud platform and seeks a Staff or Principal Applied AI Researcher to own key parts of the applied AI research direction and system design.

You will design agent native retrieval and ranking systems, enabling LLM-driven workflows at scale with strict latency requirements. This role offers high ownership and opportunities to shape the future of AI at Nebius.

Qualifikationen

  • 8+ years of experience in applied AI, ML, or software engineering.
  • Proven track record shipping ML/AI systems to production at scale.
  • Deep experience with search, retrieval, ranking, or recommender systems.
  • 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.

Aufgaben

  • Drive applied research and technical direction across retrieval and ranking systems
  • Design and evolve multi stage retrieval architectures (query understanding, rewriting, reranking, iterative retrieval)
  • Develop methods for grounding LLMs in real time web data at scale
  • Define and implement new evaluation paradigms and metrics for agentic systems, where correctness is not reducible to clicks
  • Lead experimentation on modern retrieval approaches (embeddings, hybrid search, reranking) and bring them into production
  • Analyse trade-offs across relevance, latency, and cost at scale
  • Work closely 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

Kenntnisse

Applied AI
ML in production
Search systems
Transformers & embeddings
LLMs integration
Python
Go/C++
Autonomy

Jobbeschreibung

Nebius is building a full-stack AI cloud platform and seeks a Staff or Principal Applied AI Researcher to own key parts of the applied AI research direction and system design.

You will design agent native retrieval and ranking systems, enabling LLM-driven workflows at scale with strict latency requirements. This role offers high ownership and opportunities to shape the future of AI at Nebius.

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