AI Researcher (Early Talent)
About the role
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 NL