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Staff / Principal Applied ML Engineer (Search & Retrieval)

3 hours, 23 minutes ago
Netherlands
Full-time
Lead
Machine Learning Engineer
Software Development
C++ Go LLM Machine Learning Python Transformers
Apply Now
Nebius

Nebius

Nebius enables B2B companies to build local hyperscaling cloud platforms with cost-effective GPUs, InfiniBand network, and 50% less compute cost. They offer managed Kubernetes and a launch-ready business model for innovative cloud solutions.

Internet Software & Services
51-250
View All Jobs 195

Description

  • Own end-to-end machine learning systems from problem definition through production deployment and iteration.
  • Design and deploy models for retrieval, reranking, and search relevance.
  • Build and optimize large-scale embedding-based retrieval and indexing systems.
  • Develop query understanding, query rewriting, and iterative retrieval pipelines.
  • Drive measurable improvements in relevance, latency, and cost.
  • Define and evolve evaluation frameworks and quality metrics.
  • Operate systems under strict low-latency, high-throughput constraints.
  • Collaborate with engineering and infrastructure teams to ship production systems.
  • Contribute to system architecture and long-term technical direction.
  • Raise the technical bar through leadership and mentorship.

Requirements

  • 8+ years of experience in software engineering or applied machine learning.
  • Proven ownership of large-scale machine learning systems in production end to end.
  • Strong programming skills in Python and at least one of Go or C++.
  • Deep experience in one or more of search, recommendation systems, or ads ranking.
  • Hands-on experience with retrieval, ranking, or matching systems.
  • Experience operating high-throughput, low-latency production systems.
  • Strong understanding of modern machine learning, including embeddings, transformers, and ranking models.
  • Experience designing evaluation frameworks and meaningful metrics.
  • Ability to operate in ambiguity and drive problems end to end.
  • Track record of making trade-offs between quality, latency, and cost.
  • Experience with RAG, LLM-integrated systems, or agent-based architectures, preferred.
  • Experience with large-scale indexing, crawling, or data pipelines, preferred.
  • Familiarity with hybrid search, including lexical and semantic approaches, preferred.
  • Experience with personalization or user modelling, preferred.
  • Contributions to open source, publications, or technical talks, preferred.

Benefits

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Flexible working arrangements.
  • A dynamic and collaborative work environment that values initiative and innovation.

Interested in this position?

Apply directly on the company website

Apply Now

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