Machine Learning Engineer - Post Training

Mindbeam · Remote

Posted
95 days ago
Last confirmed live
1 day ago

What this role involves

Mindbeam is seeking a Machine Learning Engineer for post-training tasks including fine-tuning, evaluation, and model compression. The role involves developing pipelines for deployment and optimization, collaborating with researchers, and building automation tools. Candidates should have 2+ years experience in model training/evaluation/deployment and proficiency in Python and ML frameworks.

Skills this posting asks for

  • python
  • pytorch
  • tensorflow
  • data pipeline
  • quantization
  • pruning
  • distillation
  • gpu infrastructure
  • cloud infrastructure
  • monitoring
  • observability
  • model deployment
  • fine-tuning
  • evaluation
  • model compression

Requirements

  • 2 years of experience
  • Level: mid

From the employer’s posting

About Mindbeam We are building the next-generation AI infrastructure for both open-source and enterprise applications. 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. Mission Advance AI…

Read the full description on Mindbeam’s careers page

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