Research Scientist Intern, AI Systems Machine Learning (PhD)

Meta - New York, NY

Full-time - Intern

New York, NY

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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 ideas at a large scale, with internships lasting between 12 to 24 weeks and various start dates available throughout the year.

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.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
• 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 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 manipulate and analyze complex, large scale, high-dimensionality data from varying sources.
• Demonstrated software engineering experience through internships, work experience, or contributions to open source repositories.

Benefits

• $7,500/month to $11,333/month compensation
• Health insurance
• Paid holidays
• Flexible scheduling
• Professional development opportunities