Research Scientist Intern, AI Systems Machine Learning (PhD)

Meta - Bellevue, WA

Full-time - Intern

Bellevue, WA

5,001-10,000 employees

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About the position

Meta is seeking Research Interns to join the Monetization Ranking & AI Foundations team, focusing on advancing machine learning systems and infrastructures. The role involves conducting state-of-the-art research, collaborating with engineers and researchers, and contributing to innovations in scalable AI technologies. Interns will have the opportunity to publish their findings and integrate innovations at scale within Meta's products.

Responsibilities

• Conduct state-of-the-art research to advance the science and technology of Machine Learning Systems and Infrastructures.
• Contribute to innovations in scalable machine learning systems and resource-efficient AI architectures.
• Analyze and improve the efficiency, scalability, and stability of deployed algorithms.
• Collaborate with researchers and engineers across diverse disciplines, communicating research plans and results.
• 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 Machine Learning, Systems, Artificial Intelligence, Computer Science, or related fields.
• 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, or other related languages.
• Experience in real-system implementations (e.g., GPU, NPU).
• 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 research results as demonstrated by grants, fellowships, patents, and first-authored publications at leading workshops or conferences.
• Demonstrated software engineering experience via internships, work experience, coding competitions, or contributions in open source repositories.
• Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches.
• Experience working and communicating cross-functionally in a team environment.

Benefits

• Competitive monthly compensation ranging from $7,800 to $11,293.
• Opportunities for professional development and research publication.