About the role
TL;DR
Conducts frontier applied research in AI architectures for competitive open-source models.
- •Nebius AI R&D conducts frontier applied research to make open-source AI highly competitive for real-world use cases.
- •Our Architectures Research stream explores how models can attend, remember, reason, and adapt more effectively, enabling longer and richer workflows at lower computational cost.
- •Key Responsibilities Formulate original research questions and translate them into rigorous experimental programs Design and evaluate architectural changes at meaningful model scales Develop methods that preserve model quality while reducing training or inference cost Publish research and contribute to open-source models, methods, and tools Mentor researchers and help shape the stream's research direction Requirements A PhD or equivalent research experience in machine learning Deep knowledge of transformers, attention, language-model training, and modern model architectures A strong publication record or comparable evidence of original research Experience designing rigorous experiments and drawing clear conclusions from ambiguous results Strong implementation skills in Python and a modern deep-learning framework
Required skills
PythonLLMsNLPTensorFlowPyTorchscikit-learnHugging Face
Nice-to-have skills
LangChain
Domain expertise
aideveloper-tools
Benefits & perks
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
Tech stack
PythonNLPLLMsTensorFlowPyTorchscikit-learnHugging Face