Summary:

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.

Required Skills:

Research Scientist -

Reality Labs Responsibilities:

1. Lead the design, development, and optimization of Large Language Models for wearable device applications 2. Set technical direction for LLM -related research projects involving 3-4 researchers and engineers 3. Conduct research and experiments to improve language model accuracy, efficiency, and on-device performance 4. Collaborate with cross-functional teams (engineering, HCI , product) to transition LLM research into production 5. Explore and adopt novel model optimization, quantization, and efficiency techniques for resource-constrained environments 6. Stay current with state-of-the-art advances in LLMs, NLP , and related fields

Minimum Qualifications:

Minimum Qualifications:

7. Demonstrated expertise in Large Language Models - including architecture design, training, fine-tuning, and/or deployment 8. Programming experience in Python and hands-on experience with deep learning frameworks such as PyTorch 9. Experience developing machine learning models at scale from inception to impact 10. 5+ years of research experience working autonomously on ML/ NLP problems

Preferred Qualifications:

Preferred Qualifications:

11. Proven track record of architecting knowledge distillation (KD) pipelines to compress frontier LLMs into optimized edge models To view full details and how to apply, please login or create a Job Seeker account