Edge LLM Scientist for Wearable AI

Meta

Sunnyvale (CA)

Hybrid

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Reality Labs at Meta is seeking a Research Scientist with deep expertise in Large Language Models to advance AI-powered neuromotor interactions for wearable devices. The role sits within Wearables Input and Interaction and blends ML, language modeling, and on-device optimization to push language AI on constrained hardware.

The ideal candidate has 5+ years of autonomous ML/NLP research, experience distilling knowledge to edge models, and a track record of bringing LLM products from research to

Qualifications

  • Bachelor's degree or equivalent; PhD completed prior to joining Meta.
  • Expertise in Large Language Models: architecture design, training, fine-tuning, deployment.
  • Proficient in Python and deep learning frameworks such as PyTorch.
  • Experience scaling ML models from inception to impact.
  • 5+ years of autonomous ML/NLP research experience.

Responsibilities

  • Drive innovation in language model development, optimization, and deployment.
  • Set technical direction for a small team of 3-4 researchers/engineers.
  • Translate research into real-world products for wearables with EMG tech.

Skills

LLM design
Machine Learning
NLP
Python
PyTorch
Knowledge distillation
Edge model optimization
On-device ML
Technical leadership
Research publications
Production deployment
Open source contributions

Education

Bachelor’s degree in CS/CE or related field
PhD in CS/ML/NLP or related field

Tools

Python
PyTorch

Job description

Reality Labs at Meta is seeking a Research Scientist with deep expertise in Large Language Models to advance AI-powered neuromotor interactions for wearable devices. The role sits within Wearables Input and Interaction and blends ML, language modeling, and on-device optimization to push language AI on constrained hardware.

The ideal candidate has 5+ years of autonomous ML/NLP research, experience distilling knowledge to edge models, and a track record of bringing LLM products from research to

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