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Research Scientist Intern, Central Applied Science (PhD)

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Meta

Apr 15

  • Internship
    Full-time
    Off-cycle Internship
  • Research & Development
  • San Francisco, +3

AI generated summary

  • You must have a PhD in a technical field, expertise in empirical research, programming skills, experience with machine learning frameworks, and cross-cultural collaboration experience. Strong track record and intent to return to degree program preferred.
  • You will analyze data, apply scientific methodologies, synthesize insights from academic literature, and collaborate with teams to drive product improvements for Meta.

Requirements

  • 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.

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.

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.