Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. In this role, you will define what quality means for a search system built for AI agents from day one.
In this position, your responsibility will be to
- Own search-related quality metrics end-to-end: from definition and computation to evolution and transition to next-generation metrics.
- Design and reason about analytics architecture across the full stack: runtime behaviour → data pipelines → metrics → dashboards.
- Develop and maintain analytics pipelines and tooling using Python.
- Translate product, user, and technical requirements into meaningful, actionable metrics.
- Challenge existing assumptions about quality and push for better, more reliable measurement.
- Work closely with product managers, engineers, and stakeholders to align analytics with system behavior and business goals.
- Debug metric anomalies, investigate quality regressions, and propose data-driven improvements.
We expect you to have
- Senior-level experience solving search or search-adjacent analytical problems.
- Strong exposure to quality metrics in at least one of the following areas:
- search relevance (web, geo, product, offers),
- ranking and freshness,
- ads quality or feed ranking.
- Ability to think end-to-end across users, products, and technology, not just individual metrics.
- Solid foundation in mathematical statistics.
- Strong Python skills and a hands-on engineering mindset.
- Experience operating in ambiguous environments and driving solutions independently.
- Clear analytical judgment: understanding why a metric exists, how it evolves, and when it should be retired.
- Strong communication skills and the ability to align product, engineering, and client perspectives.
What we offer
- 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.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
