Meta-posted 4 months ago
$85 - $251,000/Yr
Full-time • Entry Level
Bellevue, WA
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Meta is seeking a Research Engineer to join the content and user understanding team, with a focus on Large Language Models (LLM). We conduct focused research and engineering to build state-of-the-art LLMs. As a key driver of Meta's app growth, we're dedicated to using LLM-powered world knowledge to deliver user experiences across Facebook, Instagram, Threads, and more. We are looking for engineers with a background in generative AI and NLP. Experience in areas like language model evaluation, data processing for pre-training and fine-tuning, LLM alignment, reinforcement learning for language model tuning, efficient training and inference, and/or multimodal modeling is desired.

  • Build Multi-Modal LLM backbones
  • Prepare human-labeled or auto-generated data for pre-training and fine-tuning
  • Fine-tune/RLHF for downstream content understanding and user understanding tasks
  • Model evaluation with human labeling or auto judge
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Research experience in machine learning, deep learning, and/or natural language processing
  • Experience with developing machine learning models at scale from inception to business impact
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch
  • Understanding of architectural patterns of large scale software applications
  • First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
  • Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • A PhD in AI, computer science, data science, or related technical fields
  • Direct experience in generative AI and LLM research
  • $85.10/hour to $251,000/year + bonus + equity + benefits
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