Research Scientist Intern, AI Systems Machine Learning (PhD)

Meta - New York, NY

Full-time - Intern

New York, NY

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

About the position

Meta is seeking Research Interns to join the Fundamental AI Research (FAIR) team, focusing on advancing artificial intelligence technologies. Interns will engage in state-of-the-art research in machine learning systems, contributing to innovations in scalable AI systems and collaborating with cross-functional teams. This internship offers a unique opportunity to make significant algorithmic advances and apply research at a large scale within a fast-growing organization.

Responsibilities

• Perform state of the art research to advance the science and technology of machine learning systems.
• Conduct research that enables learning the semantics of various data modalities including images, video, text, and audio.
• Devise improved data-driven models for AI system design and optimization.
• Contribute to innovations in scalable machine learning systems and resource-efficient AI designs.
• Collaborate with researchers and cross-functional partners, communicating research plans and results.
• Publish research findings and contribute to impactful research for Meta's product development.

Requirements

• Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Systems, Artificial Intelligence, or a relevant technical field.
• Research experience in systems, computer architectures, compiler and programming languages, machine learning, and artificial intelligence.
• Experience with programming languages such as Python, C++, C, Lua, and familiarity with the PyTorch framework.

Nice-to-haves

• Intent to return to the degree program after the internship/co-op.
• Proven track record of significant results demonstrated by grants, fellowships, patents, or first-authored publications at leading conferences.
• Experience in developing and optimizing systems for at-scale machine learning execution.
• Experience with real-system implementations and AI system optimization.
• Experience with large machine learning model training and inference acceleration for distributed systems.
• Experience with scalable machine learning systems and environmentally-sustainable AI designs.
• Ability to analyze complex, large-scale data from various sources.
• Demonstrated software engineering experience through internships or contributions to open source repositories.

Benefits

• Competitive monthly compensation ranging from $7,500 to $11,333.
• Opportunities for professional development and research publication.