Remote Senior ML Engineer

at Nebius

Posted 15 hours ago 4 applied

Description:

  • Nebius is a leader in cloud computing focused on serving the global AI economy by providing tools and resources to solve real-world challenges.
  • The company is headquartered in Amsterdam and has a global presence with R&D hubs across Europe, North America, and Israel.
  • The team consists of over 800 employees, including more than 400 skilled engineers with expertise in hardware and software engineering.
  • The role is part of AI Studio within Nebius Cloud, which operates one of the largest GPU clouds with tens of thousands of GPUs.
  • The position involves building an inference and fine-tuning platform for various foundation models, including text, vision, audio, and multimodal architectures.
  • Responsibilities include enhancing fine-tuning methodologies for LLMs, researching and implementing inference optimization techniques, and re-implementing open-source LLM architectures in JAX.

Requirements:

  • Candidates must have a profound understanding of the theoretical foundations of machine learning and reinforcement learning.
  • Deep expertise in modern deep learning for language processing and generation is required.
  • Substantial experience in training large models on multiple computational nodes is necessary.
  • A reasonable understanding of performance aspects of large neural network training, including sharding strategies and custom kernels, is expected.
  • Strong software engineering skills, particularly in Python, are essential.
  • Deep experience with modern deep learning frameworks, specifically JAX, is required.
  • Proficiency in contemporary software engineering practices, including CI/CD, version control, and unit testing, is necessary.
  • Strong communication and leadership abilities are expected.

Benefits:

  • The position offers a competitive salary and a comprehensive benefits package.
  • There are opportunities for professional growth within Nebius.
  • Hybrid working arrangements are available.
  • The work environment is dynamic and collaborative, valuing initiative and innovation.

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