Research Scientist - Reality Labs Job at Meta (New York)

Job Description

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.

Job Responsibility

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

Requirements

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

Nice to have

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

What we offer

bonus
equity
benefits

Meta - All Job Offers

Select Country

Research Scientist - Reality Labs

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?

Research Scientist - Reality Labs

Research Scientist Intern, Optical System Design (PhD)

Research Scientist Intern, Novel Organic Materials

Research Scientist Intern, Optical System Researcher

Research Scientist Intern, Mathematics

Research Scientist Intern, Diffractive Optics

Research Scientist Intern, Nano-photonics Design

Research Scientist Intern, Optical System Design

Postdoc Research Scientist - Racks Scale Architectures

Our AI answers in your language