Senior Applied ML Engineer (Agentic Search)
Nebius — Amsterdam, North Holland, Netherlands · Hybrid · Senior
Role description
Role Overview
Join a fast-growing team building an agent-native search platform for AI systems. You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale.
What You Will Do
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.
Why It Might Be a Fit
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.
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
Benefits
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams