Research Scientist Intern, Graph Science and Statistics Research

19 hours ago


Menlo Park, California, United States META Full time
Research Scientist Intern, Graph Science and Statistics Research

Meta's Central Applied Science team is seeking a Research Scientist Intern to join the Graph Science and Statistics team. As a member of this team, you will work closely with various product groups throughout Meta, bringing expertise in statistical methodology for model evaluation and bias correction, graph and representation learning, network science, and GenAI model development and applications.

Responsibilities
  • Develop and implement scalable, statistically rigorous solutions to mission-critical inferential and decision problems using state-of-the-art statistical and machine learning methodologies.
  • Collaborate with cross-functional teams to develop and communicate statistical best practices.
  • Work independently and collaboratively with other scientists, engineers, designers, UX researchers, and product managers to deliver value to Meta's community of over 3.5 billion users.
Requirements
  • Currently pursuing or has a PhD degree in a quantitative field such as Statistics, Computer Science, Information Science, Data Science, Quantitative Marketing, or a 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 of experience in programming, analysis, and visualization using computing software and libraries such as Python or R.
  • Interpersonal experience: cross-group and cross-culture collaboration.
  • Experience in scalable dataset assembly/data wrangling, such as Hive, Spark, or Presto.
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.
  • Experience working and communicating cross-functionally in a team environment.


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