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Jobs / Nebius

Senior Research Scientist (Architectures Research)

Nebiussenior

In short

  • ▸Desarrollar nuevas arquitecturas de modelos de IA avanzados para eficiencia y razonamiento.
  • ▸Trabajar en investigaciones aplicadas de vanguardia en atención eficiente, memoria persistente y inferencia dinámica.
  • ▸Destacado por ser parte de un equipo de investigación que impacta directamente en plataformas de IA en producción a escala global.

Inglés avanzado (requisito para comunicación y publicación científica)

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What they ask for

  • ✓Doctorado en Ciencias de la Computación, Inteligencia Artificial o área relacionada.
  • ✓Experiencia demostrada en investigación de arquitecturas de modelos de IA, especialmente en atención eficiente o contexto largo.
  • ✓Publicaciones en conferencias de alto impacto como NeurIPS, ICML, ICLR, ACL, etc.
  • ✓Habilidades avanzadas en Python y frameworks de deep learning (PyTorch, JAX).
  • ✓Capacidad de diseñar y ejecutar experimentos a escala en grandes modelos.
  • ✓Comunicación efectiva de resultados científicos a equipos técnicos y no técnicos.

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Who should you write to at Nebius?

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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 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. We are looking for a Senior Research Scientist to develop new model architectures and methods in areas such as: - Efficient, sparse, and adaptive attention - Long-context models and persistent memory - Post-training transformation of pretrained models - - Selective computation and dynamic inference - New architectures for reasoning and continual adaptation Responsibilities - Formulate original research questions and translate them into rigorous experimental programs - Design and evaluate architectural changes at meaningful model scales <span class="token list pun

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