Meta is seeking a Research Engineer to join their content and user understanding team, with a focus on Large Language Models (LLMs), to build state-of-the-art LLMs and leverage LLM-powered world knowledge to deliver user experiences across their applications.
Requirements
- 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
- Direct experience in generative AI and LLM research
Responsibilities
- 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
Other
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 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
