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Research Engineer, Language - Wearables Agents AI

Meta

$71 - $208,000
Oct 8, 2025
Redmond, WA, US
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Reality Labs at Meta is looking to design and build LLM systems that power Agentic AI applications to enhance user connection and VR experiences.

Requirements

  • Proven track record of research in one or more of the following areas: deep learning, dialog systems, natural language processing, agents, or LLMs
  • 5+ years experience deploying machine learning models and systems at scale in an industry setting
  • Demonstrated software engineering capabilities with practical experience in developing and maintaining production machine learning systems
  • Experience working on wearable or assistant AI technologies
  • Demonstrated software engineering capabilities with practical experience in developing and maintaining production

Responsibilities

  • Research and develop state-of-the-art machine learning models and novel algorithms tailored to AI assistant capabilities, with a primary focus on agentic AI and tool use
  • Conduct rigorous experimentation, ablation studies, and evaluation—analyzing model performance using quantitative metrics and qualitative feedback to drive algorithmic improvements
  • Collaborate closely with product managers, engineers, and UX designers to align technical solutions with user needs and deliver innovative, production-ready features
  • Monitor, maintain, and iterate on deployed machine learning systems at scale, ensuring reliability, security, and continual enhancement based on user behaviors and emerging platform data
  • Stay at the forefront of research and industry trends in deep learning, agentic AI, LLMs, and related disciplines, bringing new methodologies into the team’s research and development pipeline
  • Communicate findings and contribute to technical documentation, internal presentations, and external publications where appropriate

Other

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Advanced degree (MS or PhD) in Computer Science, Machine Learning, AI, or a related technical field, or equivalent practical experience
  • Proven ability to effectively communicate complex technical concepts and collaborate productively with cross-functional teams