
1001 - 5000 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Nebius Group is building one of the world’s 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.
Likely ghost job
🕒 January 16
🌐 Netherlands, Germany, +2 more countries – Remote
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
👻 Ghost score 75%
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1001 - 5000 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Nebius Group is building one of the world’s 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 and develop an LLM training platform • Maintain ML infrastructure for optimal performance, scalability, and reliability • Improve job scheduling strategies to minimize resource fragmentation • Build large-scale LLM training platforms as part of Nebius AI R&D • Contribute to applied research and AI-heavy products, including Nebius Token Factory, an inference and fine-tuning platform for AI models
• 5+ years of professional software development experience • Strong software engineering skills, primarily using Python and Go • Proficiency in CI/CD, version control, and unit testing • Experience developing web services • Commitment to maintaining extreme rigor in all job-related activities • Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility • Nice to have: Previous experience with language models or similar NLP technologies • Nice to have: Track record of building and delivering products in a dynamic startup-like environment • Nice to have: Experience developing large distributed systems or high-load web services • Nice to have: Open-source projects showcasing engineering skills
• Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams
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