[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Search jobs](/search/) Meta Platforms · Sunnyvale, CA +2 more # Research Scientist - Reality Labs Sunnyvale, CA +2 more Remote Research & Science Listed on Meta Platforms’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/3475238505990089/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / Research Scientist - Reality Labs ## 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. 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 ## 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 - 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 ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Jul 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 99 days - Location: Sunnyvale, CA +2 more - Work arrangement: Remote[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/3475238505990089/) ## More jobs at Meta Platforms ### [AI Research Assistant (PhD)](https://jobs.opennash.com/companies/meta-platforms/jobs/7e45c6d881e3d2a278ac/) Paris, France ### [AI Research Engineer](https://jobs.opennash.com/companies/meta-platforms/jobs/2ce2068cd9fcf1053dc1/) Menlo Park, CA ### [AI Research Manager - Meta Superintelligence Labs](https://jobs.opennash.com/companies/meta-platforms/jobs/2b9038fb99fde6a938ed/) Menlo Park, CA ### [AI Research Scientist](https://jobs.opennash.com/companies/meta-platforms/jobs/0a8e7379fc17e7680e65/) Paris, France ### [AI Research Scientist (Technical Leadership)](https://jobs.opennash.com/companies/meta-platforms/jobs/72288ea280f9f76d6d0c/) Bellevue, WA ## Similar jobs at other companies ### [Manager Labs - Bioanalytical LCMS Research and Development](https://jobs.opennash.com/companies/thermo-fisher-scientific/jobs/ef35c6db529c3470570c/) Thermo Fisher Scientific · Richmond, Virginia, United States of America ### [Research Scientist 2](https://jobs.opennash.com/companies/humana/jobs/ec75b9eedca849c2c7ce/) Humana · Remote, Nationwide ### [Senior Research Scientist - Bioanalytical LCMS Research and Development](https://jobs.opennash.com/companies/thermo-fisher-scientific/jobs/e9e321eedbccee5ebefa/) Thermo Fisher Scientific · Richmond, Virginia, United States of America ### [Research Scientist - E2](https://jobs.opennash.com/companies/lockheed-martin/jobs/428dcbbf358b2086a059/) Lockheed Martin · Louisville, CO ### [Data Scientist, Operations Research](https://jobs.opennash.com/companies/cardinal-health/jobs/ce82441f816d003d13aa/) Cardinal Health · International OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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