Internship Computer Science Research Jobs in New York

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
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.