Reality Labs at Meta is seeking a Research Scientist with deep expertise in Large Language Models (LLMs) to advance our work in AI-powered neuromotor interactions for wearable devices. We are building next-generation language capabilities that enable natural, expressive, and intelligent communication through Meta's wearable platforms via our industry-leading electromyography (EMG) program. Our team within the Wearables Input and Interaction organization is multi-disciplinary, combining machine learning, language modeling, and on-device optimization to push the boundaries of what's possible with language AI on constrained hardware. This is a unique opportunity to conduct cutting-edge LLM research with direct product impact - shaping how people interact with the next generation of wearable devices. We are looking for a researcher who can drive innovation in language model development, optimization, and deployment while setting technical direction for a small team. If you are passionate about building state-of-the-art language models and translating research into real-world products, we want to hear from you.
Responsibilities
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 fields
Minimum Qualifications
• Bachelor'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. 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
Preferred Qualifications
• 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 tasks
