Machine Learning Engineer - Pre Training

Mindbeam · Remote

Posted
50 days ago
Last confirmed live
1 day ago

What this role involves

Mindbeam is seeking a Machine Learning Engineer to design and optimize large-scale pre-training systems for generative AI models. The role involves building scalable pipelines, implementing distributed training strategies, and collaborating with researchers. Requires 2+ years of experience with large-scale model training and distributed systems.

Skills this posting asks for

  • python
  • pytorch
  • tensorflow
  • jax
  • gpu scheduling
  • memory optimization
  • parallelism strategies
  • docker
  • kubernetes
  • high-performance computing
  • distributed training
  • scalable pre-training pipelines
  • monitoring
  • fault-tolerance

Requirements

  • 2 years of experience

From the employer’s posting

About Mindbeam We are building the next-generation AI infrastructure for open source and enterprise. Our work is deeply research-oriented and passionate about developing ground-breaking innovations to take state-of-the-art AI applications to the next level. What drives us is not only advancing te…

Read the full description on Mindbeam’s careers page

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