6 hours ago
London, United KingdomMid Level
Responsibilities
- Contribute to future AI and infrastructure engineering opportunities across machine learning, AI research, LLM systems, inference, GPU infrastructure, backend, systems, platform engineering, reliability, and production AI.
- Build infrastructure and services for developing, training, and running next-generation AI applications.
- Register interest and share experience and preferred opportunity areas through the talent pool.
Requirements
- Experience or interest in one or more of machine learning and AI research, LLM pre-training or post-training, reinforcement learning, inference optimization, model serving, GPU or distributed computing infrastructure, backend, systems, platform engineering, cloud infrastructure, reliability, performance, agentic systems, or production AI.
- Familiarity with PyTorch, vLLM, or open-source AI systems is relevant.
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility if hired.
Benefits
- Competitive compensation, career growth and learning opportunities, flexibility and ownership, a collaborative and innovative culture, impactful AI projects, and an international environment.
- Opportunities to engage with Nebius technical events and its engineering community.
Tech Stack
Categories
About Nebius
Nebius builds a full-stack AI cloud offering GPU compute, storage, and tools for training and deploying ML models for startups, enterprises, and research labs. It sells consumption-based cloud infrastructure (IaaS/PaaS) and managed services tailored to generative AI workloads, including large-scale model training and inference. The company is headquartered in Amsterdam and operates as an independent provider.