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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.

Research Scientist Intern, Central Applied Science (PhD) Responsibilities

  • 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.

Minimum Qualifications

  • 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.

Locations

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

$7,500/month to $11,333/month + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.

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Confirmed 19 hours ago. Posted 30+ days ago.

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