We are seeking a Research Engineer to join the Wearable Agents AI team. This role will focus on creating advanced machine learning models and systems that power the Wearable AI Assistant’s memory and personalization features, including multi-modal recall, personalization, recommendations, and related capabilities.
Research Engineer - Wearable Agents AI Responsibilities:
- Research and develop state-of-the-art machine learning models and novel algorithms tailored to wearable AI assistant capabilities, with a primary focus on memory, personalization, multi-modal recall, and recommendation systems
- Design, prototype, and implement robust systems enabling multi-modal recall of user experiences, integrating a wide range of data sources such as text, audio, image, and sensor inputs for contextual understanding
- Architect and optimize machine learning pipelines for dynamic user personalization and tailored recommendations, ensuring scalable, low-latency performance for real-world applications
- 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, multi-modal modeling, information retrieval, recommendation, personalization, 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, 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
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
- 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 and collaborate productively with cross-functional teams
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.
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.
$85.10/hour to $251,000/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.
