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Research Scientist Intern, Graph Science and Statistics Research (PhD)

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Meta

Nov 30, 2023

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • Seattle, +1

Requirements

  • Currently has, or is in the process of obtaining, a PhD degree in a quantitative field such as Statistics, Computer Science, Information Science, Data Science, Quantitative Marketing or relevant technical field.
  • Experience in machine learning and statistical research covering at least one of the following domains: graph and sequence modeling, statistical modeling, network science, marketing science, relational learning, user modeling, model evaluation or generative AI.
  • 1+ years in programming, analysis, and visualization using computing software and libraries such as Python or R.
  • Experience in scalable dataset assembly/data wrangling, such as Hive, Spark or Presto.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • Preferred Qualifications:
  • Intent to return to degree-program after the completion of the internship/co-op.
  • Proven track record of achieving significant results as demonstrated by previous internships or industry experience, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as KDD, The Web, AI STATS, AAAI, NeurIPS, ICML, or similar.
  • Experience working and communicating cross functionally in a team environment.

Responsibilities

  • Build pragmatic, scalable, and statistically rigorous solutions to mission critical inferential and decision problems by leveraging or developing state of the art statistical and machine learning methodologies on top of Meta’s unparalleled data infrastructure.
  • Apply excellent communication skills in order to develop cross-functional partnerships throughout the company and spread statistical best practices.
  • Be able to work both independently and collaboratively with other scientists, engineers, designers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value to Meta’s community of over 3.5 billion users.
  • Think creatively, proactively, and futuristically to identify new opportunities within Meta’s long term roadmap for data-scientific contributions.
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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.