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Meta

Company

2 hours ago

Research Engineer, Language - Wearables Agents AI

Burlingame, CA
Full-time

Job Description

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.
  • 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
Minimum Qualifications
  • 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
Preferred Qualifications
  • 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
For those who live in or expect to work from California if hired for this position, please click here for additional information.
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

$70.67/hour to $208,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.


Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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