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Описание вакансии
Текст:
TL;DR
Senior Research Scientist (AI Architectures): Developing new model architectures and methods for efficient, adaptive, and scalable AI systems with an accent on attention, persistent memory, reasoning, and continual adaptation. Focus on designing rigorous experiments, validating architectural innovations at meaningful model scales, and reducing training and inference costs while preserving model quality.
Location: Remote within Europe or the United Kingdom
Company
Nebius builds a full-stack AI cloud platform for data processing, model training, and production deployment, with research and development across cloud infrastructure and applied AI.
What you will do
- Formulate original research questions and translate them into rigorous experimental programs.
- Design and evaluate architectural changes for efficient, sparse, adaptive, and long-context models.
- Develop methods that reduce training or inference costs while preserving model quality.
- Collaborate with engineering teams to validate research ideas through efficient implementations.
- Publish research and contribute to open-source models, methods, and tools.
- Mentor researchers and help shape the architectures research direction.
Requirements
- PhD or equivalent research experience in machine learning.
- Deep knowledge of transformers, attention, language-model training, and modern model architectures.
- Strong publication record or comparable evidence of original research.
- Experience designing rigorous experiments and interpreting ambiguous results.
- Strong Python implementation skills and experience with a modern deep-learning framework.
- Experience training or evaluating models at scale, with the ability to lead research independently.
Nice to have
- Experience with long-context modeling, memory systems, sparse or linear attention, model distillation, distributed training, or efficient inference.
Culture & Benefits
- Flexible work with significant ownership and autonomy.
- Competitive compensation and career growth opportunities.
- Learning opportunities in an international research and engineering environment.
- Collaborative culture focused on impactful AI projects.
- Fast-moving environment with opportunities to shape the future of AI.
- Applicants must be authorized to work in the country where they apply and provide proof of employment eligibility.
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