Meta Careers
Research Engineer, Language - Wearables Agents AI
Meta Careers, Seattle, Washington, us, 98127
Research Engineer, Language - Wearables Agents AI
Base pay range: $70.67/yr - $208,000.00/yr
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.
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
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
Seniority level
Seniority level: Not Applicable
Employment type
Employment type: Full-time
Job function
Job function: Engineering and Information Technology
Industries: Technology, Information and Internet
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.
Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
$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.
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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.
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
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
Seniority level
Seniority level: Not Applicable
Employment type
Employment type: Full-time
Job function
Job function: Engineering and Information Technology
Industries: Technology, Information and Internet
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.
Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
$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.
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