Senior Applied ML Engineer (Agentic Search)

Location: Zurich, Switzerland

Company

Nebius is building a full-stack AI cloud platform for data processing, model training, and production deployment, with infrastructure spanning compute, storage, networking, and applied AI.

What you will do

• Design, train, and deploy machine learning models for retrieval, reranking, search relevance, crawling, data selection, and content understanding.
• Build and optimize embedding-based indexing and large-scale retrieval systems.
• Define quality metrics and develop evaluation pipelines for agent-native search.
• Develop systems for very large-scale, high-throughput query workloads operating continuously in production.
• Integrate ML models into production services and collaborate with engineering teams on product and architectural decisions.
• Analyze latency, quality, and cost trade-offs while applying modern search, retrieval, and LLM-integrated techniques.

Requirements

• 5+ years of experience in software engineering or applied machine learning.
• Strong programming skills in Python, Go, or C++.
• Production experience deploying ML models.
• Hands-on experience with retrieval, ranking, recommendation, or similar machine learning problems.
• Strong knowledge of machine learning, modern deep learning, large-scale data systems, and high-throughput environments.
• Ability to design evaluation frameworks, define meaningful model metrics, solve complex problems, and work in a distributed team.

Nice to have

• Experience with search systems or large-scale information retrieval.
• Familiarity with embeddings, transformers, modern NLP, LLM-powered systems, or agent-based systems.
• Open-source contributions, technical publications, conference talks, or competitive ML experience such as Kaggle.

Culture & Benefits

• Competitive compensation and career growth opportunities.
• Learning opportunities, flexibility, and ownership.
• Collaborative, innovative, and international environment.
• Opportunity to work on impactful AI projects with experienced engineering and research teams.

Hiring process

• Coding interviews are part of the hiring process.
• Applicants must already be authorized to work in the country where they apply and provide proof of employment eligibility.