Senior ML Engineer (Agentic Search)

About the Position

Join Nebius as a Senior ML Engineer (Agentic Search) to develop and deploy machine learning models for AI systems in a fast-growing team.

About the Company

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Responsibilities

• Train and deploy ML models for retrieval, reranking, and search relevance, such as embedding models and cross-encoders, in production
• Develop models supporting crawling, data selection, and content understanding
• Build and maintain the data, training and evaluation pipelines behind our models: training-data generation, evaluation sets and retraining
• Contribute to and improve our ML platform: training and orchestration workflows (Kubernetes, GPU scheduling, experiment tracking, model lifecycle) and inference optimisation for low-latency serving
• Work closely with engineering to integrate and deploy ML models in production services, balancing latency, quality and cost
• Apply the latest architectural advances and training procedures for retrieval and LLM-integrated systems

Requirements

• 5+ years of experience in software engineering or applied machine learning
• Strong programming skills in Python and at least one of Go or C++
• Proven experience deploying ML models in production systems
• Solid understanding of machine learning and modern deep learning, including transformers and embeddings
• Experience building data or ML pipelines and working with workflow orchestration
• Ability to define meaningful model metrics and evaluate models rigorously
• Product-oriented mindset with a focus on impact and iteration

Nice to Have

• Hands-on experience with retrieval, ranking, or recommendation
• Experience with Kubernetes, distributed training or GPU scheduling, or inference optimisation (batching, quantisation, compilation)
• Contributions to open-source projects, technical publications, or conference talks
• Strong results on public benchmarks or leaderboards (e.g. MTEB, BEIR) or models released on Hugging Face

We Offer

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams

What's it like to work at Nebius

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

Locations

• Amsterdam, Netherlands
• London, United Kingdom
• Remote - Europe
• Zurich, Switzerland