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Member of Technical Staff, Pretraining

Mirendil· Tech
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San Francisco$300k - $400kFull-timePosted 4mo ago

About the role

Engineer at the intersection of research and systems working on the pretraining stack to scale models, optimize training, and build data pipelines across large-scale distributed GPU environments.

Responsibilities

  • Implement and iterate on model architectures, training algorithms, and optimizer research in large-scale pretraining runs
  • Scale distributed training jobs across thousands of GPUs
  • Optimize training throughput for novel attention mechanisms, architecture variants, and compute efficiency improvements
  • Design and build large-scale data pipelines for efficient model consumption and dataset curation
  • Run and analyze scientific experiments to advance understanding of how architecture and data choices affect model capabilities

Skills

Required:model architecturestraining algorithmsdistributed trainingdata pipelines
Nice to have:experimental analysis

Benefits

  • competitive benefits
  • meaningful equity grant
  • base salary of $300,000–$400,000 USD depending on experience and background
Last updated Aug 27, 2026. Interested? Apply on the company site.

About Mirendil

Mirendil — a frontier lab building systems that excel at AI R&D.

AI R&Dfrontier AIdemocratize frontier AI R&Dsystems that excel at AI R&D
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