Job Description

Central Applied Science is seeking research science interns to improve Meta’s products and infrastructure through scientific methodologies and innovative solutions. The ideal candidate will have a PhD in a related field and experience in applied research with the potential for real-world impact.

Requirements

Currently has, or is in the process of obtaining, a PhD in Computer Science, Statistics, Machine Learning, Operations Research, 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 or scikit-learn
Interpersonal experience: cross-group and cross-culture collaboration
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

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 product teams to accomplish complex tasks that create value for Meta’s community of over 3.5 billion users
Identify new areas across Meta’s family of apps and products where scientific insights can drive improvements in product or infrastructure