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Summary:

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.

Required Skills:

Research Engineer - Wearable Agents AI Responsibilities:

1. 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

2. 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

3. Architect and optimize machine learning pipelines for dynamic user personalization and tailored recommendations, ensuring scalable, low-latency performance for real-world applications

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

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

6. 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

7. 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

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

Minimum Qualifications:

Minimum Qualifications:

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

10. Proven track record of research in one or more of the following areas: deep learning, information retrieval, personalization, recommendation systems, or LLMs

11. 5+ years experience deploying machine learning models and systems at scale in an industry setting

12. Demonstrated up-to-date expertise in machine learning research advancements and adherence to industry best practices

Preferred Qualifications:

Preferred Qualifications:

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

14. Experience working on wearable or assistant AI technologies

15. Expertise in multi-modal machine learning and memory systems

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

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

Public Compensation:

$85.10/hour to $251,000/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].