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Senior ML Engineer at Nebius to conduct applied AI research on reinforcement learning, agentic systems, and model training, using JAX and Python in a cloud infrastructure company.
Senior ML Engineer at Nebius building and optimizing large-scale AI inference and fine-tuning platforms for foundation models using JAX and modern hardware.
Senior ML Engineer at Nebius builds and optimizes high-performance inference and fine-tuning platforms for large language models across tens of thousands of GPUs, focusing on throughput, latency, and cost-per-token.
Senior Site Reliability Engineer at Nebius to maintain and scale DevTools infrastructure (CI/CD, monorepos, artifact storage) while improving system reliability and user experience for an AI cloud platform.
Senior Site Reliability Engineer at Nebius, an AI cloud platform company, responsible for ensuring fault-tolerance, scale, and uninterrupted operations using cloud technologies, CI/CD, and infrastructure tools like Kubernetes and Terraform.
Build and maintain the reliability, observability, and performance of Nebius’s AI inference platform, ensuring seamless operation under extreme load while optimizing GPU workloads and Kubernetes clusters.
Builds and optimizes large-scale indexing and data processing pipelines for an AI-native search engine, handling tens of gigabytes per second of real-time data to support agentic AI retrieval systems.
Builds and optimizes a low-latency search engine runtime that serves AI agents in real time, using C++ or Rust and cloud infrastructure.
Build and maintain a distributed data platform (YTsaurus-based) in C++ to power AI workloads, handling petabytes of data across hundreds of servers for internal and external users.
Senior engineer builds and operates a managed PostgreSQL service optimized for AI workloads, including vector search and migrations, using Go and PostgreSQL internals.
Build and maintain a large-scale LLM training platform using Python and Go, optimizing distributed systems for AI workloads on Nebius’s cloud infrastructure.
Principal Applied AI Researcher builds agent-native search systems for AI agents, designing retrieval and ranking architectures optimized for machine consumption at scale.
Oversee security-focused cloud infrastructure projects, coordinating cross-team efforts to implement and deliver security programs for an AI cloud platform.
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…
Engineer troubleshoots and resolves data center hardware issues, manages RMA processes, and improves IT infrastructure support workflows for a cloud platform serving AI workloads.
Senior Data Center IT Technician troubleshoots hardware issues in a cloud infrastructure company supporting AI workloads, using Linux and server equipment.
Builds and operates web-scale crawling infrastructure for an AI-native search platform, processing billions of URLs to feed real-time data to agentic AI systems using Go/C++ and distributed systems.
Provide legal guidance on IP and IT contracts, open-source compliance, and software licensing for a cloud platform powering AI infrastructure.
Builds and optimizes a cloud platform for serving large-scale AI models efficiently, integrating open-source frameworks like vLLM and TRT-LLM with advanced systems techniques.
Senior Technical Product Manager at Nebius to own the AI inference platform Token Factory, driving roadmap, design, and delivery for high-performance model inference tools used by developers and enterprises.
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