Meta is seeking Research Scientist Interns in the Meta Superintelligence org to advance the field of generative AI by making fundamental advances in technologies to help interact with and understand our world.
Requirements
Experience in Python or other related programming languages
Experience building systems based on machine learning and/or deep learning methods
Experience with Generative AI, including diffusion models and VLMs
Background in advancing AI techniques in at the intersection of foundation model training and RL including core contributions to open source libraries and frameworks
Publications or experience in machine learning, AI, computer vision, RL, NLP, optimization, computer science, statistics, applied mathematics, or data science
Experience solving analytical problems using quantitative approaches
Experience setting up ML experiments and analyzing their results
Responsibilities
Perform research to advance the science and technology of generative AI.
Perform research that enables learning the semantics of data at scale (images, video, text, audio, and other modalities).
Improve and propose new methods for post-training foundation models across the spectrum of techniques including reinforcement learning and supervised fine tuning.
Devise better data-driven models of image multi-modal understanding.
Publish research results and contribute to research that can be applied to Meta product development.
Other
Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, NLP, Reinforcement Learning (RL), Computer Vision, Artificial Intelligence, or relevant technical field
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Intent to return to a degree-program after the completion of the internship/co-op
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and ACL
Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
