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Nebius

Senior Applied ML Engineer (Agentic Search)

Nebius · Amsterdam, Netherlands; London, United Kingdom; 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
80 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

The Senior ML Engineer at Nebius will focus on developing and deploying machine learning models for an agent-native search platform that enhances AI systems' access to real-time information. Responsibilities include designing ML models for retrieval and ranking, optimizing large-scale retrieval systems, and collaborating with engineering teams to integrate these models into production. The role demands a strong understanding of machine learning techniques and the ability to work on systems with high throughput.

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

  • 5+ years of experience in software engineering or applied machine learning
  • Strong programming skills in Python, Go, or C++
  • Proven experience deploying ML models in production systems
  • Hands-on experience with retrieval, ranking, recommendation, or similar ML problems
  • Strong understanding of machine learning and modern deep learning techniques
  • Experience working with large-scale data systems and high-throughput environments

Nice to have

  • Experience with search systems or large-scale information retrieval
  • Familiarity with embeddings, transformers, and modern NLP systems
  • Experience working on LLM-powered or agent-based systems
  • Contributions to open-source projects, technical publications, or conference talks
  • Participation in competitive ML (e.g. Kaggle) or similar signals of strong technical ability

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
  • Focus on high-throughput environments may imply demanding performance expectations
  • Role involves working on production systems used 24x7, which 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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