Research Engineer, Language - Wearables Agents AI

Meta • Redmond, WA

111d • $70 - $208,000

About The Position

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content. We are seeking a Research Engineer to join our team within Reality Labs. This role will focus on designing and building LLM systems that power Agentic AI applications, including workstreams around data generation and curation, tool design and implementation, and building data and evaluation flywheels to power rapid product improvements.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 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

Nice To Haves

• Advanced degree (MS or PhD) in Computer Science, Machine Learning, AI, or a related technical field, or equivalent practical experience
• Experience working on wearable or assistant AI technologies
• Demonstrated software engineering capabilities with practical experience in developing and maintaining production
• Proven ability to effectively communicate complex technical concepts and collaborate productively with cross-functional teams

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

Benefits

• $70.67/hour to $208,000/year + bonus + equity + benefits
• Individual compensation is determined by skills, qualifications, experience, and location.
• In addition to base compensation, Meta offers benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Education Level: Bachelor's degree