AI Researcher (Early Talent)

<div class="content-intro"><p><strong data-stringify-type="bold">Why work at Nebius<br></strong>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.</p> <p><strong>Where we work<br></strong>Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&amp;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&amp;D team.</p></div><p><strong>The Role</strong></p> <p>We are opening a 3–6 month Early Career program within our AI R&amp;D team. You will work alongside experienced researchers to solve challenges in LLMs, reinforcement learning, and agentic systems. <br><br><strong data-stringify-type="bold">We are looking for Early talents to support research in:</strong></p> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0">Reinforcement learning for agents and reasoning models</li> <li data-stringify-indent="0" data-stringify-border="0">Building reinforcement learning environments</li> <li data-stringify-indent="0" data-stringify-border="0">Efficient model distillation and evaluation</li> </ul> <p><strong>Your responsibilities will include:</strong></p> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0">Assist in designing and running experiments to train LLMs and speculators for them</li> <li data-stringify-indent="0" data-stringify-border="0">Help analyze experimental results and document findings</li> <li data-stringify-indent="0" data-stringify-border="0">Write and maintain code for data mining, processing, and model evaluation</li> <li data-stringify-indent="0" data-stringify-border="0">Collaborate with the team to explore new methods in the selected research direction</li> <li data-stringify-indent="0" data-stringify-border="0">Participate in technical discussions and discuss future steps of research</li> <li data-stringify-indent="0" data-stringify-border="0">Advanced methods for efficient speculative decoding</li> <li data-stringify-indent="0" data-stringify-border="0">Inference optimization techniques</li> </ul> <h4><strong>We expect you to have:</strong></h4> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0">Strong knowledge of computer science and machine learning fundamentals</li> <li data-stringify-indent="0" data-stringify-border="0">Experience with Python and familiarity with deep learning frameworks</li> <li data-stringify-indent="0" data-stringify-border="0">Ability to write clean, efficient code</li> <li data-stringify-indent="0" data-stringify-border="0">Strong problem-solving skills and a willingness to learn quickly</li> <li data-stringify-indent="0" data-stringify-border="0">Good communication skills in English</li> <li data-stringify-indent="0" data-stringify-border="0">Permitted to work in the job’s location</li> </ul> <h4>Nice to have:</h4> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0">Previous experience with NLP/reinforcement learning/AI agents projects</li> <li data-stringify-indent="0" data-stringify-border="0">Familiarity with current LLM concepts</li> <li data-stringify-indent="0" data-stringify-border="0">Enrollment in or completion of a degree in Computer Science, AI, or a related field</li> <li data-stringify-indent="0" data-stringify-border="0">Contributions to open-source projects</li> </ul> <p><strong>What we offer</strong></p> <ul> <li>Competitive salary and comprehensive benefits package</li> <li>Mentorship from experienced AI, ML, and cloud infrastructure professionals</li> <li>Hands-on experience with real customer workloads and production systems</li> <li>Remote work flexibility and a collaborative, supportive team environment</li> <li>Opportunity to be considered for a full-time role after the Early Talent Program</li> </ul> <p>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!</p><div class="content-conclusion"><p><strong>What we offer:</strong>&nbsp;</p> <ul> <li>Competitive salary and comprehensive benefits package.</li> <li>Opportunities for professional growth within Nebius.</li> <li>Flexible working arrangements.</li> <li>A dynamic and collaborative work environment that values initiative and innovation.</li> </ul> <p><span data-contrast="auto">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!</span></p> <p><strong>Equal Opportunity Statement:</strong></p> <p>Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.</p> <p>Applicants must be authorized to work in the country in which they apply, and will be required to provide proof of employment eligibility as a condition of hire.</p></div>