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.
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
- 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
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
- Individual compensation is determined by skills, qualifications, experience, and location
- Meta offers benefits
- Meta is proud to be an Equal Employment Opportunity employer
