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Research Scientist Intern, Central Applied Science (PhD)

Logo of Meta


1mo ago

🚀 Off-cycle Internship

San Francisco +3

AI generated summary

  • You must have a PhD in a technical field, expertise in empirical research, programming skills, experience with machine learning frameworks, and cross-cultural collaboration experience. Strong track record and intent to return to degree program preferred.
  • You will analyze data, apply scientific methodologies, synthesize insights from academic literature, and collaborate with teams to drive product improvements for Meta.

Off-cycle Internship

Research & DevelopmentSan Francisco, Seattle, New York, Menlo Park


  • Central Applied Science is a research and development team, working to improve Meta’s products and infrastructure. We generate real-world impact through a combination of scientific rigor and methodological innovation. Our focus is on foundational work that addresses new opportunities and challenges across Meta, including the Meta family of apps that enable billions of people to communicate with each other daily.
  • Central Applied Science is interdisciplinary, with expertise in computer science, statistics, machine learning, economics, operations research, among many other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address. We deliver value through collaborative projects with other groups at Meta and with the academic community. In addition, we build and open-source technical products aligned with our areas of expertise.
  • We are looking for research interns to join the Central Applied Science team. The ideal candidate will have extensive graduate training in computer science or related disciplines, and an interest in answering challenging, open-ended research questions with real-world impact.
  • Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.


  • Currently has, or is in the process of obtaining, a PhD in Computer Science, Statistics, Machine Learning, or a related technical field.
  • Expertise in empirical research, including manipulating and analyzing complex data and communicating quantitative analyses.
  • Knowledge of common programming languages such as Python or C++, strong development capabilities, and familiarity with software engineering best practices.
  • Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn.
  • Interpersonal experience: cross-group and cross-culture collaboration.
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
  • Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, KDD, AISTATS, ICLR, or similar.
  • Experience working and communicating cross functionally in a team environment.
  • Intent to return to degree-program after the completion of the internship/co-op.

Education requirements

Currently Studying

Area of Responsibilities

Research & Development


  • Answer important product and business questions, by applying appropriate scientific methodologies, and developing new methodologies when necessary.
  • Synthesize and apply insights from the relevant academic literatures to Meta’s products.
  • Apply communication skills to engage diverse audiences on technical topics.
  • Work both independently and collaboratively with other scientists, engineers, and other product roles to accomplish complex tasks that create value for Meta’s community of over 3.5 billion users.
  • Identify new areas across the family of Meta apps and products where scientific insights can drive improvements in product or infrastructure.


Work type

Full time

Work mode



San Francisco, Seattle, New York, Menlo Park