Senior Ml Engineer (token Factory)

Nebius

Remote
Remote
Theoretical foundations of machine learning
Deep learning for language processing
Training large models on multiple nodes
Nebius is seeking a Senior Machine Learning Engineer to join their Token Factory team, which focuses on developing an advanced inference and fine-tuning platform for large models in AI. The role requires deep expertise in machine learning, software engineering, and experience with large-scale model training, offering a competitive salary and a flexible working environment

Job Summary

  • Nebius is leading a new era in cloud computing to serve the global AI economy.
  • We are building an inference & fine-tuning platform that makes every kind of foundation model fast, reliable, and effortless to train & deploy at massive scale.
  • Competitive salary and comprehensive benefits package, opportunities for professional growth, and flexible working arrangements.

Matching Summary

Match Score: 85

Nebius is seeking a Senior Machine Learning Engineer to join their Token Factory team, which focuses on developing an advanced inference and fine-tuning platform for large models in AI. The role requires deep expertise in machine learning, software engineering, and experience with large-scale model training, offering a competitive salary and a flexible working environment.

Skills & Requirements

Must-have

  • theoretical foundations of machine learning
  • deep learning for language processing
  • training large models on multiple nodes
  • performance aspects of large neural networks
  • Python software engineering
  • JAX deep learning framework
  • CI/CD, version control, unit testing
  • communication and leadership abilities

Nice-to-have

  • experience with language models
  • familiarity with LLM concepts
  • building and delivering products
  • developing large distributed systems
  • open-source projects
  • excellent English communication skills

Key Requirements

  • Profound understanding of theoretical foundations of machine learning and reinforcement learning
  • Deep expertise in modern deep learning for language processing and generation
  • Experience with training large models on multiple computational nodes
  • Reasonable understanding of performance aspects of large neural network training
  • Strong software engineering skills (Python)
  • Deep experience with modern deep learning frameworks (JAX)
  • Proficiency in contemporary software engineering approaches
  • Strong communication and leadership abilities

Work Rights

Not specified

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