AI Researcher (Early Talent)

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 1400 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. The Role We are opening a 3–6 month Early Career program within our AI R&D team. You will work alongside experienced researchers to solve challenges in LLMs, reinforcement learning, and agentic systems. We are looking for Early talents to support research in: Reinforcement learning for agents and reasoning modelsBuilding reinforcement learning environmentsEfficient model distillation and evaluation Reinforcement learning for agents and reasoning models Building reinforcement learning environments Efficient model distillation and evaluation Your responsibilities will include: Assist in deg and running experiments to train LLMsHelp analyze experimental results and document findingsWrite and maintain code for data mining, processing, and model evaluationCollaborate with the team to explore new methods in reinforcement learning for agentsParticipate in technical discussions and discuss future steps of research Assist in deg and running experiments to train LLMs Help analyze experimental results and document findings Write and maintain code for data mining, processing, and model evaluation Collaborate with the team to explore new methods in reinforcement learning for agents Participate in technical discussions and discuss future steps of research We expect you to have: Strong knowledge of computer science and machine learning fundamentalsExperience with Python and familiarity with deep learning frameworksAbility to write clean, efficient codeStrong problem-solving skills and a willingness to learn quicklyGood communication skills in English Strong knowledge of computer science and machine learning fundamentals Experience with Python and familiarity with deep learning frameworks Ability to write clean, efficient code Strong problem-solving skills and a willingness to learn quickly Good communication skills in English Nice to have: Previous experience with NLP/reinforcement learning/AI agents projectsFamiliarity with current LLM conceptsEnrollment in or completion of a degree in Computer Science, AI, or a related fieldContributions to open-source projects Previous experience with NLP/reinforcement learning/AI agents projects Familiarity with current LLM concepts Enrollment in or completion of a degree in Computer Science, AI, or a related field Contributions to open-source projects What we offer Competitive salary and comprehensive benefits packageMentorship from experienced AI, ML, and cloud infrastructure professionalsHands-on experience with real customer workloads and production systemsRemote work flexibility and a collaborative, supportive team environmentOpportunity to be considered for a full-time role after the Early Talent Program Competitive salary and comprehensive benefits package Mentorship from experienced AI, ML, and cloud infrastructure professionals Hands-on experience with real customer workloads and production systems Remote work flexibility and a collaborative, supportive team environment Opportunity to be considered for a full-time role after the Early Talent Program We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!