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Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Key Customers Solutions Architect, you'll support key customers by optimizing GPU performance for AI solutions, managing AI workloads, and collaborating with sales and product teams.

The System Engineer will develop services for managing GPU virtual machines, enhance Virtual Machine Scheduler, and ensure efficient system performance.

The Senior ML Engineer will enhance fine-tuning methodologies, research inference optimization techniques, and re-implement LLM architectures focusing on distributed training and efficiency.

The Senior Network Engineer will oversee the stability of data center networks, design automation tools, and support cross-functional teams.

The Senior Hypervisor Engineer will develop the hyperscaler platform, optimize I/O for devices, enhance guest support, and improve virtualization performance in collaboration with the open-source community.

Responsible for tuning GPU cluster performance, troubleshooting InfiniBand networks, integrating hardware, enhancing automation, and managing GPU devices in HPC.

The Senior Site Reliability Engineer will ensure fault-tolerance and uninterrupted operations, using innovative cloud technologies, alongside improving CI/CD processes.

The Senior Site Reliability Engineer ensures system fault-tolerance, scalability, and operational continuity by leveraging cloud technologies and improving CI/CD processes.

The Senior Network Engineer will ensure stable data center operations, develop networks for cloud platforms, and automate monitoring tools while collaborating with cross-functional teams.