Degree must be completed prior to joining Meta Demonstrated expertise in Large Language Models - including architecture design, training, fine-tuning, and/or deployment Programming experience in Python and hands-on experience with deep learning frameworks such as PyTorch Experience developing machine learning models at scale from inception to impact 5+ years of research experience working autonomously on ML/NLP problems Proven track record of architecting knowledge distillation (KD) pipelines to compress frontier LLMs into optimized edge models Experience bringing LLM-based products from research to production Demonstrated software engineering experience via internship, work experience, or widely used contributions in open source repositories Technical leadership experience setting direction for a team of 3-4 researchers/engineers First-authored publications at peer-reviewed AI/NLP conferences (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR, NAACL) Experience with on-device or edge language model optimization (quantization, sparsity, distillation, knowledge distillation) Deep expertise in logit matching, task-specific SFT data synthesis, and instruction-tuning sub-billion models for production tasksMeta builds technologies that help people connect, find communities, and grow businesses. Lead the design, development, and optimization of Large Language Models for wearable device applications Set technical direction for LLM-related research projects involving 3-4 researchers and engineers Conduct research and experiments to improve language model accuracy, efficiency, and on-device performance Collaborate with cross-functional teams (engineering, HCI, product) to transition LLM research into production Explore and adopt novel model optimization, quantization, and efficiency techniques for resource-constrained environments Stay current with state-of-the-art advances in LLMs, NLP, and related fieldsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Currently has, or is in the process of obtaining, a PhD in Computer Science, Machine Learning, Natural Language Processing, or a related technical field.