Research Scientist Intern, Language and Multimodal Research for MetaAI (PhD)

Meta - Seattle, WA

Full-time - Intern

Seattle, WA

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

About the position

Meta is seeking Research Interns to join their Generative AI efforts, focusing on language and multimodal research. The role involves developing state-of-the-art generative AI algorithms and systems, conducting research to advance intelligent machine technologies, and collaborating with cross-functional teams. Interns will have the opportunity to make significant algorithmic contributions and apply their research at a large scale within the organization.

Responsibilities

• Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques.
• Analyze and improve efficiency, scalability, and stability of deployed algorithms based on the project.
• Perform research to advance the science and technology of intelligent machines.
• Conduct research that enables learning the semantics of and training generative models of various data modalities.
• Collaborate with researchers and cross-functional partners, communicating research plans, progress, and results.
• Disseminate research results and contribute to applicable research for Meta product development.

Requirements

• Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Generative AI, 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 with Python, C++, C, Java, or other related languages.
• Experience building systems based on machine learning and/or deep learning methods.

Nice-to-haves

• Intent to return to the degree program after the completion of the internship/co-op.
• Proven track record of achieving significant results demonstrated by grants, fellowships, patents, or first-authored publications at leading workshops or conferences.
• Experience working and communicating cross-functionally in a team environment.
• Experience in advancing AI techniques, including 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 analyzing 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 with deep learning frameworks.

Benefits

• $7,800/month to $11,293/month compensation
• Benefits package