Meta is seeking a Research Engineer to create advanced machine learning models and systems for the Wearable AI Assistant’s memory and personalization features
Requirements
Proven track record of research in one or more of the following areas: deep learning, information retrieval, personalization, recommendation systems, or LLMs
5+ years experience deploying machine learning models and systems at scale in an industry setting
Demonstrated up-to-date expertise in machine learning research advancements and adherence to industry best practices
Experience working on wearable or assistant AI technologies
Expertise in multi-modal machine learning and memory systems
Demonstrated software engineering capabilities with practical experience in developing and maintaining production machine learning systems
Proven ability to effectively communicate complex technical concepts
Responsibilities
Research and develop state-of-the-art machine learning models and novel algorithms tailored to wearable AI assistant capabilities
Design, prototype, and implement robust systems enabling multi-modal recall of user experiences
Architect and optimize machine learning pipelines for dynamic user personalization and tailored recommendations
Conduct rigorous experimentation, ablation studies, and evaluation—analyzing model performance using quantitative metrics and qualitative feedback
Collaborate closely with product managers, engineers, and UX designers to align technical solutions with user needs
Monitor, maintain, and iterate on deployed machine learning systems at scale
Stay at the forefront of research and industry trends in deep learning, multi-modal modeling, information retrieval, recommendation, personalization, LLMs, and related disciplines
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
Ability to work from California if hired for this position
Must be eligible to work in the United States
Equal Employment Opportunity employer, no discrimination based on race, religion, color, national origin, sex, etc.
