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About the Role

Develop and deploy machine learning models for an agent-native search platform, powering retrieval, ranking, and indexing at scale for AI systems. This high-impact role tackles challenges comparable to large-scale web search on a production system used 24x7.

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

Requirements

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

Skills

Python
Go
C++
Machine Learning
Deep Learning
Retrieval
Ranking
Recommendation Systems
Large-scale data systems
High-throughput environments
Evaluation frameworks
Search systems
Information retrieval
Embeddings
Transformers
NLP
LLM-integrated systems
Agent-based systems

Location

Amsterdam

Work Type

Full-time

Experience Level

Senior

Benefits

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

About the Company

Nebius is leading a new era in cloud infrastructure for the global AI economy, building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment.
Built by engineers, for engineers, Nebius addresses challenges across compute, storage, networking, and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, Nebius has a global footprint with R&D hubs across Europe, the UK, North America, and Israel.
The team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software, and AI R&D.

Equal Opportunity

Nebius is an equal opportunity employer committed to fostering an inclusive and diverse workplace.
We provide equal employment opportunities in all aspects of employment, without discrimination based on race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
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.
If you need accommodations during the application process, please let us know.