Research Scientist Intern, AI Core Machine Learning (PhD)

Meta - New York, NY

Full-time - Intern

New York, NY

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About the position

Meta is seeking a Research Scientist Intern in AI Core Machine Learning to contribute to the advancement of artificial intelligence technologies. The role involves developing state-of-the-art algorithms, conducting research, and collaborating with cross-functional teams to apply findings to Meta's product development. Interns will have the opportunity to make significant algorithmic contributions and publish their research results.

Responsibilities

• Develop novel state-of-the-art algorithms and corresponding systems using deep learning techniques.
• Analyze and improve algorithms and systems focusing on efficiency, scalability, stability, fairness, security, and privacy.
• Conduct state-of-the-art research to advance Machine Learning and Artificial Intelligence.
• Collaborate with researchers and cross-functional partners, communicating research plans, progress, 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 Computer Science, Machine Learning, 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.
• Experience with programming languages such as Python, C++, C, Java, or other related languages.
• Experience with deep learning frameworks such as Pytorch or Tensorflow.

Nice-to-haves

• Intent to return to degree program after the completion of the internship/co-op.
• Proven track record of achieving significant results demonstrated by grants, fellowships, patents, or publications at leading workshops or conferences.
• Demonstrated experience in solving analytical problems using quantitative approaches.
• Experience building large-scale machine learning systems and training with large datasets.
• Experience communicating complex research clearly and precisely.
• Demonstrated software engineering experience via internships, work experience, coding competitions, or contributions in open source repositories.
• Experience working and communicating cross-functionally in a team environment.

Benefits

• Competitive monthly compensation ranging from $7,500 to $11,333.
• Opportunity to publish research results and contribute to product development.