Research Scientist Intern, Multimodal Behavioral AI (PhD)
About The Position
Meta Reality Labs Research is seeking PhD interns to develop behavioral inference methods from sparse information. The team uses multimodal egocentric data, including data such as Project Aria, and machine learning to build robust, efficient models that support wearable AI. The work spans human behavior research, robust algorithms, and systems prototyping and optimization. Internships last 12 to 24 weeks, with start dates throughout the year; some projects require at least 16 consecutive weeks. The intern will use wearable-device data to develop AI algorithms for inferring human behavior patterns related to attention, cognition, or emotion. Example signals include longitudinal gaze behavior, physiological sensing, gestures, and vocal cues. The role also includes developing data-collection strategies, benchmarks, and metrics; collaborating throughout project development; communicating research progress and results; and publishing findings in leading journals and conferences. Research may eventually be applied to Meta products and services.
Requirements
- Currently has or is pursuing a PhD in Computer Science, Machine Learning, Robotics, Neuroscience, or a related field.
- Programming experience in Python and deep learning frameworks such as PyTorch.
- Deep learning experience with modern generative AI frameworks.
- Must obtain work authorization in the country of employment by the time of hire and maintain it throughout employment.
Nice To Haves
- Experience with interdisciplinary, cross-group, and cross-culture collaboration.
- Extensive experience solving analytical problems using quantitative approaches.
- Comfort analyzing high-volume natural-language and multimodal data from varying sources.
- Experience optimizing machine learning algorithms with limited data and on constrained hardware.
- Experience communicating complex research clearly, precisely, and actionably.
- A track record of results demonstrated through grants, fellowships, patents, or first-authored publications at workshops, top AI conferences such as CVPR, NeurIPS, CHI, ICLR, ACL, or EMNLP, or similar journals.
- Intent to return to a degree program after completing the internship.
Responsibilities
- Develop state-of-the-art AI algorithms using wearable-device data to infer behavior patterns related to attention, cognition, or emotion.
- Develop data-collection strategies, benchmarks, and metrics to validate and improve model efficiency, scalability, and stability.
- Collaborate with researchers and engineers across disciplines through all stages of project development.
- Contribute research that may eventually be applied to Meta products and services and run on billions of media items every day.
- Regularly communicate the research agenda, progress, and results.
- Publish research results in top-tier journals and at leading international conferences.
Benefits
- Benefits are offered; specific benefits are not listed.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
