AI Research Engineer

Nebius is a technology company building a full-stack AI-native cloud platform designed for large-scale AI workloads. We provide infrastructure, tooling, and services for training and inference at scale.

About the role

We are looking for an AI Research Engineer to join our research and engineering teams. You will work on cutting-edge problems in machine learning systems, model training efficiency, and applied AI, collaborating with researchers and product engineers to turn ideas into production-ready capabilities on Nebius AI Cloud.

What you’ll do

• Design, implement, and evaluate ML models and training pipelines for large-scale workloads
• Improve performance, reliability, and cost efficiency of training and inference on GPU infrastructure
• Collaborate with infrastructure and product teams to integrate research outcomes into the platform
• Stay current with the research literature and apply relevant advances to practical problems
• Communicate results through code, documentation, and technical discussions

What we’re looking for

• Strong background in machine learning, deep learning, or related fields
• Proficiency in Python and ML frameworks (e.g., PyTorch)
• Experience with distributed training, large models, or high-performance computing is a plus
• Ability to work independently and as part of a distributed team
• Fluent English for written and verbal communication

What we offer

• Competitive compensation and benefits
• Opportunity to work on large-scale AI infrastructure
• Collaborative, international team

About Nebius

Nebius is focused on AI infrastructure and services for builders training and deploying modern AI systems.