Senior Applied ML Engineer — Agentic Search Platform

AI Chopping Block

Zürich

Vor Ort

CHF 120.000 - 180.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Competitive compensation
Career growth and learning
International environment

Zusammenfassung

Nebius is seeking a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI. You will design, train, and deploy models powering retrieval, ranking, and indexing at scale, enabling real-time access to fresh information.

You will collaborate across engineering to productionize ML solutions and optimize latency, quality, and cost. The role focuses on embedding-based retrieval, large-scale systems, and state-of-the-art techniques in search and NLP, with

Qualifikationen

  • 5+ years of software or applied ML experience.
  • Strong Python, Go or C++ programming skills.
  • Proven ML deployment in production environments.
  • Experience with retrieval, ranking or related ML problems.
  • Strong ML fundamentals and modern deep learning techniques.
  • Experience with large-scale data systems and high throughput.
  • Ability to design evaluation frameworks and metrics.
  • Product-minded with focus on impact and iteration.
  • Proactive problem solving in distributed teams.

Aufgaben

  • Design, train, and deploy ML models for retrieval, reranking, and search relevance in production.
  • Build embedding-based indexing and large-scale retrieval systems.
  • Develop models for crawling, data selection, and content understanding.
  • Define quality metrics and evaluation pipelines for agent-native search.
  • Work on systems with very large scale and high-throughput queries.
  • Collaborate with engineering to integrate ML models into production services.
  • Analyze trade-offs among latency, quality, and cost.
  • Experiment with state-of-the-art search and LLM-integrated methods.
  • Contribute to product and architectural decisions in a fast-moving environment.

Kenntnisse

5+ yrs exp
Python
Go
C++
ML deployment
Retrieval/Ranking
Embeddings
Distributed systems
Evaluation frameworks
Product mindset
Problem solving

Jobbeschreibung

Nebius is seeking a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI. You will design, train, and deploy models powering retrieval, ranking, and indexing at scale, enabling real-time access to fresh information.

You will collaborate across engineering to productionize ML solutions and optimize latency, quality, and cost. The role focuses on embedding-based retrieval, large-scale systems, and state-of-the-art techniques in search and NLP, with

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