Research Scientist Intern, AI Systems Machine Learning (PhD)

Meta - Boston, MA

Full-time - Intern

Boston, MA

5,001-10,000 employees

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. The role involves conducting state-of-the-art research in machine learning systems, contributing to innovations in scalable AI systems, and collaborating with cross-functional teams. Interns will have the opportunity to publish research results and impact Meta's product development while working in a dynamic and innovative environment.

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 better data-driven models for AI system design and optimization.
• Contribute to innovations in scalable machine learning systems and resource-efficient AI data and algorithm scaling.
• Collaborate with researchers and cross-functional partners, communicating research plans, progress, and results.
• Publish research results and contribute to research impacting Meta 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 Python, C++, C, Lua, or other related languages and with the PyTorch framework.

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 developing and optimizing systems for at-scale machine learning execution.
• Experience in real-system implementations and devising data-driven models for AI system optimization.
• Experience with large machine learning model training and inference acceleration for distributed systems.

Benefits

• $7,800/month to $11,293/month compensation based on skills and experience.
• Comprehensive benefits package including health insurance, retirement plans, and paid time off.