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🚀 Internship

Research Scientist Intern, Product Algorithms (PhD)

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11d ago

🚀 Off-cycle Internship

San Francisco

AI generated summary

  • The candidate must have a PhD in Computer Science or a related field, experience analyzing datasets using Python or R, proficiency in algorithm development with Python, C, C++ or Java, expertise in fields such as causal inference or machine learning, and a proven track record of impactful research and publications. They should also be able to work with large-scale data systems, collaborate effectively in a team, and have the intention to continue their degree program after completing the internship.
  • The Research Scientist Intern at Meta will work with vast amounts of data, developing novel methods, setting ambitious research goals, and collaborating with cross-functional teams to deliver value and push the state-of-the-art in data-driven product development.

Off-cycle Internship

Software EngineeringSan Francisco


  • We are looking for research interns to join the Product Algorithms team in Central Applied Science. The team is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally increase the magnitude of Meta’s successes. The ideal candidate will have extensive graduate training in computer science, statistics, operations research, or related disciplines, and the passion to solve real world hard scientific problems. By applying your expertise and passion you will be empowered to drive impact across a range of products, infrastructure and operational use cases at Meta.


  • Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Statistics, Operations Research, or a related field.
  • Experience analyzing datasets using languages like Python or R.
  • Experience developing algorithms in languages like Python, C, C++ or Java.
  • Experience with empirical research and for answering questions with data.
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • Preferred Qualifications:
  • Expertise in one or more of the following fields: causal inference, machine learning, combinatorial optimization and stochastic modeling.
  • Experience working with large-scale data systems, such as Presto, Spark, etc.
  • 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 KDD, ICML, NeurIPS, AAAI, WWW, WSDM, etc.
  • 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

Software Engineering


  • Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
  • Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.
  • Work towards long-term ambitious research goals, while identifying intermediate milestones.
  • Communicate best practices in quantitative analysis to partners.
  • Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.


Work type

Full time

Work mode



San Francisco