AI Researcher (Early Talent)
Location: Amsterdam, Netherlands; Berlin, Germany; Remote - Europe; Remote - United States
Department: ML
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
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 models
- Building reinforcement learning environments
- Efficient model distillation and evaluation
Your responsibilities will include:
- Assist in designing and running experiments to train LLMs and speculators for them
- 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 the selected research direction
- Participate in technical discussions and discuss future steps of research
- Advanced methods for efficient speculative decoding
- Inference optimization techniques
We expect you to have:
- 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
- Permitted to work in the job’s location
Nice to have:
- 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 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!
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
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.
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.
If you need accommodations during the application process, please let us know.
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