Senior Applied ML Engineer - Agentic Search Platform

Nebius Group; Zürich; Vor Ort; CHF 170.000 - 260.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Career growth

Flexibility and ownership

Collaborative and innovative culture

Opportunity to work on impactful AI

International environment

Zusammenfassung

Nebius is hiring a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI. You will develop and deploy machine learning models powering retrieval, ranking, and indexing at scale, enabling real-time access to information.

The role requires strong software engineering and ML deployment experience with a product-focused mindset and ability to work in a distributed team across production services at very large scale.

Qualifikationen

• 5+ years of experience in software engineering or applied machine learning.
• Proven experience deploying ML models in production systems.
• Experience with retrieval, ranking, or similar ML problems.
• Strong programming skills in Python, Go, or C++.

Aufgaben

• 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

Kenntnisse

5+ years experience

Python

Go

C++

ML deployment

Retrieval systems

Jobbeschreibung

Nebius is hiring a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI. You will develop and deploy machine learning models powering retrieval, ranking, and indexing at scale, enabling real-time access to information.

The role requires strong software engineering and ML deployment experience with a product-focused mindset and ability to work in a distributed team across production services at very large scale.