
1001 - 5000 employees
đ˘ Enterprise
âď¸ SaaS
AI ⢠Enterprise ⢠SaaS
Nebius Group is building one of the worldâs leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
đ March 30
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1001 - 5000 employees
đ˘ Enterprise
âď¸ SaaS
AI ⢠Enterprise ⢠SaaS
Nebius Group is building one of the worldâs leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
⢠Design, train, and deploy ML models for retrieval, reranking, and search relevance in production ⢠Build and optimise embedding-based indexing and large-scale retrieval systems ⢠Develop models supporting crawling, data selection, and content understanding ⢠Define and improve quality metrics for agent-native search and build evaluation pipelines ⢠Work on systems operating at very large scale, including high-throughput query workloads ⢠Collaborate closely with engineering teams to integrate ML models into production services ⢠Analyse performance trade-offs across latency, quality, and cost ⢠Experiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems ⢠Contribute to product and architectural decisions in a fast-moving environment.
⢠5+ years of experience in software engineering or applied machine learning ⢠Strong programming skills in Python, Go, or C++ ⢠Proven experience deploying ML models in production systems ⢠Hands-on experience with retrieval, ranking, recommendation, or similar ML problems ⢠Strong understanding of machine learning and modern deep learning techniques ⢠Experience working with large-scale data systems and high-throughput environments ⢠Ability to design evaluation frameworks and define meaningful model metrics ⢠Product-oriented mindset with a focus on impact and iteration ⢠Strong problem-solving skills and ability to work in a distributed team.
⢠Competitive salary and comprehensive benefits package. ⢠Opportunities for professional growth within Nebius. ⢠Flexible working arrangements. ⢠A dynamic and collaborative work environment that values initiative and innovation.
Apply Nowđ January 30
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