About the job
Meta is seeking Research Scientist Interns to join the Products and Applied Research team. We are committed to advancing the field of generative AI by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as generative AI, deep learning, computer vision and natural language processing. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.
Responsibilities
Perform research to advance the science and technology of generative AI.
Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Devise better data-driven models of image generation and text generation.
Publish research results and contribute to research that can be applied to Meta product development.
Qualifications
Minimum
Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or relevant technical field
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Experience in C, C++, Python, Java, or other related programming language
Experience building systems based on machine learning and/or deep learning methods
Preferred
Intent to return to 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 with Generative AI, including diffusion models and LLM’s
Background in advancing AI techniques in computer vision, including core contributions to open source libraries and frameworks in computer vision
Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science
Experience solving analytical problems using quantitative approaches
Experience setting up ML experiments and analyze their results
Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
Experience in utilizing theoretical and empirical research to solve problems
Experience working and communicating cross functionally in a team environment