Senior Applied ML Engineer – Agent-Native Search

Carbon Data Solutions; Zürich; Vor Ort; CHF 112.000 - 169.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Impactful AI projects

International environment

Zusammenfassung

Nebius is seeking a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI. You will design, train, and deploy ML models for retrieval and ranking at scale, and integrate them into production services used 24x7.

You will work with Python/Go/C++, develop embedding-based indexing for large-scale retrieval, define quality metrics, and collaborate across engineering teams to balance latency, cost, and accuracy.

Qualifikationen

• 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, or similar ML problems.
• Strong understanding of machine learning and modern deep learning techniques.
• Experience 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.

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

Python

Go

C++

ML deployment

Retrieval/Ranking

Distributed systems

NLP/Transformers

Ausbildung

Master's degree in CS/ML

Tools

TensorFlow

PyTorch

HuggingFace

Jobbeschreibung

Nebius is seeking a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI. You will design, train, and deploy ML models for retrieval and ranking at scale, and integrate them into production services used 24x7.

You will work with Python/Go/C++, develop embedding-based indexing for large-scale retrieval, define quality metrics, and collaborate across engineering teams to balance latency, cost, and accuracy.