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.
Requirements
- Programming experience in Python and with deep learning frameworks like PyTorch
- Deep learning experience with modern generative AI frameworks
- Comfort analyzing high-volume natural language and multimodal data from varying sources
- Experience with optimization of machine learning algorithms with limited data and on constrained hardware
Responsibilities
- 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
- Develop data collection strategies, benchmarks, and metrics to validate and improve efficiency, scalability, and stability of these models
- Collaborate with researchers and engineers across diverse disciplines through all stages of project development
- Contribute to research that can eventually be applied to Meta products and services and run on billions of media items every day
- Regular communication of research agenda, progress and results
- Publish research results in top-tier journals and at leading international conferences
Other
- Currently has or is in the process of obtaining a PhD in the field of Computer Science, Machine Learning, Robotics, or a related field
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
- Past experience with interdisciplinary, cross-group and cross-culture collaboration
- Extensive experience solving analytical problems using quantitative approaches
- Experience communicating complex research in a clear, precise, and actionable manner
- 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
- Intent to return to degree-program after the completion of the internship
