Deep Learning Engineer Position

6 days ago


San Francisco, California, United States Magic AI Full time

Magic AI aims to build safe AGI that drives progress on humanity's most pressing challenges. By automating research and code generation, we strive to develop aligned AGI more efficiently than humans alone.

The Job Description:

This role as a Research Engineer requires expertise in training, evaluating, and deploying large AI models. Responsibilities include building internet-scale datasets, prototyping new ideas, and contributing to frameworks for research and production.

  • Improve inference efficiency for novel architectures
  • Develop frameworks for research and production
  • Train massive models on large GPU clusters
  • Curate datasets to enhance targeted capabilities
  • Create scalable data pipelines and crawlers
  • Design, prototype, and optimize new architectures
  • Pursue research in long-context, inference-time compute, RL, and more
Key Skills:
  • Proficiency in software engineering
  • Deep understanding of deep learning principles
  • Experience with LLM pre- and post-training
  • Innovative thinking and idea evaluation
  • Expertise in large distributed systems
  • Efficacy in handling large ETL tasks
What We Offer:

A competitive salary range of $180K - $650K, equity, 401(k), excellent health benefits, generous PTO, visa sponsorship, relocation assistance, and a dynamic work environment.



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