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Meta · 17 hours ago

Research Scientist Intern, Computer Vision for Media Research (PhD)

United States

Internship

Remote

Intern

$7,650/mo - $12,134/mo

Meta is a technology company focused on connecting people and building communities. They are seeking Research Scientist Interns to advance generative AI through research in computer vision, collaborating with cross-functional teams, and publishing findings that contribute to product development.

Computer Software

Comp. & Benefits

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

Qualification

Deep LearningComputer VisionGenerative AIMachine LearningPythonC++Analytical Problem SolvingResearch CommunicationTeam Collaboration

Required

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