Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. Role overview :
Scope of Work assist in threat modelling of AI pipelines (data → training → inference → model packaging) support detection engineering for AI-specific attack surfaces (prompt abuse, model jailbreak, GPU DMA abuse, poisoning, extraction) participate in security validation and red teaming of AI services analyse AI system logs, model outputs, and drift signals for anomaly patterns support zero-trust controls around model serving endpoints + APIs assist product, platform, and infra teams in embedding guardrails into AI systems help maintain AI security playbooks and documentation Required Skills foundational knowledge of ML pipelines (data prep → training → eval → deployment) Python proficiency (NumPy / PyTorch or TensorFlow familiarity) understanding of model types: LLMs, diffusers, embeddings, vector DBs basic understanding of cloud (K8s, containers) and API security concepts ability to read security research and reproduce PoCs
