LLM Research Scientist for Wearable AI on Edge

Meta; Indianapolis (IN); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta Reality Labs is seeking a Research Scientist to advance large language models for wearable devices. The role focuses on design, optimization, and deployment of LLMs with on-device efficiency, in a cross-functional setting with engineering, HCI, and product teams.

You will guide 3–4 researchers and engineers, and drive research-to-production translation for constrained hardware. The ideal candidate has extensive LLM expertise, Python and PyTorch proficiency, and a track record of autonomous

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• PhD in CS/ML/NLP (completed before joining Meta).
• Expertise in Large Language Models — architecture, training, fine-tuning, or deployment.
• Python programming and PyTorch experience.
• Experience building ML models at scale from inception to impact.
• 5+ years of autonomous ML/NLP research experience.

Responsibilities

• Lead the design, development, and optimization of Large Language Models for wearable device applications.
• Set technical direction for LLM 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 to transition LLM research into production.
• Explore and adopt model optimization techniques for resource-constrained environments.
• Stay current with state-of-the-art advances in LLMs, NLP, and related fields.

Job description

Meta Reality Labs is seeking a Research Scientist to advance large language models for wearable devices. The role focuses on design, optimization, and deployment of LLMs with on-device efficiency, in a cross-functional setting with engineering, HCI, and product teams.

You will guide 3–4 researchers and engineers, and drive research-to-production translation for constrained hardware. The ideal candidate has extensive LLM expertise, Python and PyTorch proficiency, and a track record of autonomous