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Research Scientist Intern, Product Algorithms (PhD)

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Meta

Feb 12

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Software Engineering
  • San Francisco

Requirements

  • 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.

Responsibilities

  • 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.

Meta

Technology
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

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.