About Nebius:

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.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

We are seeking a Senior ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. Our focus is agentic search, where AI systems plan, retrieve and refine rather than just return results.

You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time.

This is a high-impact role working on a production system used 24x7, operating at the scale of web search.

Your 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

Must-haves:

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-haves:

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

Benefits & Perks:

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

Remote Jobs

Senior ML Engineer (Agentic Search)

Senior Account Executive (Education) - ROMENA

Senior Machine Learning Engineer, LLM Inference Optimization

Regional Director (Higher Education) - GCC

VP of Partnerships, EMEA

Lead Growth Analyst

Partner Solutions Architect

Staff Software Engineer

Lead RN, Utilization Management

General Manager, SMB - US-Based

Accounting Specialist - Thailand

Regional Marketing Manager, ANZ

Senior CRO, Affiliate Marketing

Home Based Primary Care Physician (MD/DO)

General Manager, Industrial Products & Services - US Based

Lead Data Scientist, AdTech

(766) Program Analyst

Business Analyst, Clinical & Reimbursement Policy

Senior Software Engineer, Firefox Security

Executive Search Lead - Technology