Senior ML Engineer, Agentic Search Platform

Nebius Group; Zürich; On-site; CHF 150,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative culture

Impactful AI projects

International environment

Job summary

Nebius is seeking a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI. You will develop and deploy ML models powering retrieval, ranking and indexing at scale, in a production system operating 24x7.

The role focuses on embedding-based indexing, high-throughput retrieval, and collaboration with engineering teams to deploy models in production, with an emphasis on performance, quality, and cost trade-offs.

Qualifications

• 5+ years of experience in software engineering or applied ML.
• Strong programming skills in Python, Go, or C++.
• Proven experience deploying ML models in production.
• Experience with retrieval, ranking, or similar ML problems.
• Strong understanding of ML and deep learning techniques.
• Experience with large-scale data systems and high-throughput environments.
• Ability to design evaluation frameworks and meaningful model metrics.
• Product-oriented mindset with focus on impact and iteration.
• Strong problem-solving skills in a distributed team.

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 with engineering teams to integrate ML models into production services.
• Analyse performance trade-offs across latency, quality, and cost.
• Experiment with state-of-the-art techniques in search and LLM-integrated systems.
• Contribute to product and architectural decisions in a fast-moving environment.

Skills

Python

Go

C++

Production ML

Retrieval systems

Large-scale data

Model evaluation

Problem solving

Job description

Nebius is seeking a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI. You will develop and deploy ML models powering retrieval, ranking and indexing at scale, in a production system operating 24x7.

The role focuses on embedding-based indexing, high-throughput retrieval, and collaboration with engineering teams to deploy models in production, with an emphasis on performance, quality, and cost trade-offs.