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Summary:

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.

Required Skills:

Research Engineer, Language - Wearables Agents AI Responsibilities:

1. 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

2. Conduct rigorous experimentation, ablation studies, and evaluation—analyzing model performance using quantitative metrics and qualitative feedback to drive algorithmic improvements

3. Collaborate closely with product managers, engineers, and UX designers to align technical solutions with user needs and deliver innovative, production-ready features

4. 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

5. 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

6. Communicate findings and contribute to technical documentation, internal presentations, and external publications where appropriate

Minimum Qualifications:

Minimum Qualifications:

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

8. Proven track record of research in one or more of the following areas: deep learning, dialog systems, natural language processing, agents, or LLMs

9. 5+ years experience deploying machine learning models and systems at scale in an industry setting

10. Demonstrated software engineering capabilities with practical experience in developing and maintaining production machine learning systems

Preferred Qualifications:

Preferred Qualifications:

11. Advanced degree (MS or PhD) in Computer Science, Machine Learning, AI, or a related technical field, or equivalent practical experience

12. Experience working on wearable or assistant AI technologies

13. Demonstrated software engineering capabilities with practical experience in developing and maintaining production

14. Proven ability to effectively communicate complex technical concepts and collaborate productively with cross-functional teams

Public Compensation:

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

**Industry:** Internet

Equal Opportunity:

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 [email protected].