Job Description

**Summary:** Meta Reality Labs (Redmond, WA) is looking for exceptional interns to solve complex challenges in behavioral inference from sparse information. Our world-class team or researchers on the ACE team within RL-R leverage multimodal, egocentric data and cutting edge machine learning to deliver robust, efficient models that serve everyone. Our research provides core building blocks to unlock comfortable, intuitive, and helpful Wearable AI, empowering everyone to harness the superpowers of this emerging technology in their daily lives.We welcome PhD students in computer science, machine learning, robotics, or related fields. In particular, we are looking for candidates with experience in multimodal inference of complex systems, often with limited or ambiguous ground truth. We welcome students with a passion for working in a strongly collaborative team that spans research across human behavior, robust algorithms, and systems prototyping and optimization.Our team at Meta Reality Labs offers twelve (12) to twenty four (24) week long internships and we have various start dates throughout the year. Some projects may require a minimum of sixteen (16) consecutive weeks. **Required Skills:** Research Scientist Intern, Multimodal Behavioral AI (PhD) Responsibilities: 1. Using data from wearable devices, develop novel state-of-the-art AI algorithms to infer human behavior patterns that inform attention, cognition or emotion. Examples include longitudinal gaze behaviors, gestures, or vocal cues 2. Develop data collection strategies, benchmarks, and metrics to validate and improve efficiency, scalability, and stability of these models 3. Collaborate with researchers and engineers across diverse disciplines through all stages of project development 4. Contribute to research that can eventually be applied to Meta products and services and run on billions of media items every day 5. Regular communication of research agenda, progress and results 6. Publish research results in top-tier journals and at leading international conferences **Minimum Qualifications:** Minimum Qualifications: 7. Currently has or is in the process of obtaining a PhD in the field of Computer Science, Machine Learning, Robotics, or a related field 8. Programming experience in Python and with deep learning frameworks like PyTorch 9. Deep learning experience with modern generative AI frameworks 10. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 11. Past experience with interdisciplinary, cross-group and cross-culture collaboration 12. Extensive experience solving analytical problems using quantitative approaches 13. Comfort analyzing high-volume natural language and multimodal data from varying sources 14. Experience with optimization of machine learning algorithms with limited data and on constrained hardware 15. Experience communicating complex research in a clear, precise, and actionable manner 16. Proven track record of achieving results as demonstrated by grants, fellowships, patents, and/or first-authored publications at workshops or top AI conferences such as CVPR, NeurIPS, CHI, ICLR, ACL, EMNLP or similar journals 17. Intent to return to degree-program after the completion of the internship **Public Compensation:** $7,650/month to $12,134/month + 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 accommodations-ext@fb.com.

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