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

Meta - Bellevue, WA

Full-time - Intern

Bellevue, WA

Web Search Portals, Libraries, Archives, and Other Information Services

About the position

Meta is seeking Research Scientist Interns to join the Generative AI team, focusing on advancing the field of generative AI through research and development. Interns will have the opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale, contributing to technologies that help understand and interact with the world. The internship lasts between twelve to twenty-four weeks with various start dates throughout the year.

Responsibilities

• Perform research to advance the science and technology of generative AI.
• Conduct research that enables learning the semantics of data across various modalities including images, video, text, and audio.
• Collaborate with researchers and cross-functional partners, effectively communicating research plans, progress, and results.
• Devise improved data-driven models for image and text generation.
• Publish research results and contribute to research applicable to Meta product development.

Requirements

• Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or a relevant technical field.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
• Experience in programming languages such as C, C++, Python, Java, or other related languages.
• Experience building systems based on machine learning and/or deep learning methods.

Nice-to-haves

• Intent to return to degree-program after the completion of the internship/co-op.
• Proven track record of achieving significant results demonstrated by grants, fellowships, patents, and publications at leading workshops or conferences.
• Experience with Generative AI, including diffusion models and LLMs.
• Background in advancing AI techniques in computer vision, including contributions to open source libraries and frameworks.
• 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 analyzing their results.
• Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
• Experience utilizing theoretical and empirical research to solve problems.
• Experience working and communicating cross-functionally in a team environment.