Senior ML Engineer (Agentic Search)

Nebius Group; Amsterdam; Remote; EUR 120,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation

Career growth opportunities

Flexibility and ownership

International environment

Job summary

Nebius Group is building a leading AI cloud platform and seeks a Senior ML Engineer (Agentic Search) to design and deploy scalable ML models for retrieval, ranking, and indexing. You will work across embedding-based systems and production services in a fast-growing, international environment.

Join a team focused on real-time data access, 24x7 operations, and close collaboration with engineers to push the frontier of agent-native search and AI-powered retrieval solutions.

Qualifications

• 5+ years in software engineering or applied ML.
• Strong programming in Python, Go, or C++.
• Proven production ML deployment experience.
• Experience with retrieval, ranking, or similar ML problems.
• Experience with large-scale data systems.

Responsibilities

• Design, train, and deploy ML models for retrieval, reranking, and search relevance in production.
• Build and optimise embedding-based indexing and large-scale retrieval systems.
• Develop models supporting crawling, data selection, and content understanding.
• Define and improve quality metrics for agent-native search and build evaluation pipelines.
• Work on systems operating at very large scale, including high-throughput query workloads.
• Collaborate closely with engineering teams to integrate ML models into production services.
• Analyse performance trade-offs across latency, quality, and cost.
• Experiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems.
• Contribute to product and architectural decisions in a fast-moving environment.

Skills

Python/Go/C++

Production ML deployment

Retrieval/Ranking/Recommendation

ML/DL techniques

Large-scale data systems

Evaluation frameworks

Distributed teamwork

Tools

Embeddings

Transformers

Job description

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

We are seeking a Senior ML Engineer (Agentic Search) to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI.

• Amsterdam, Netherlands; London, United Kingdom; Remote - Europe; Zurich, Switzerland

You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time.

This is a high-impact role working on a production system used 24x7, tackling challenges comparable to large-scale web search.

Your responsibilities:

• Design, train, and deploy ML models for retrieval, reranking, and search relevance in production
• Build and optimise embedding-based indexing and large-scale retrieval systems
• Develop models supporting crawling, data selection, and content understanding
• Define and improve quality metrics for agent-native search and build evaluation pipelines
• Work on systems operating at very large scale, including high-throughput query workloads
• Collaborate closely with engineering teams to integrate ML models into production services
• Analyse performance trade-offs across latency, quality, and cost
• Experiment with and apply state-of-the‑art techniques in search, retrieval, and LLM-integrated systems
• Contribute to product and architectural decisions in a fast-moving environment

Must-haves:

• 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
• Ability to design evaluation frameworks and define meaningful model metrics
• Product-oriented mindset with a focus on impact and iteration
• Strong problem‑solving skills and ability to work in a distributed team

Nice‑to‑haves:

• 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

Benefits & Perks:

• 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

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.