Job Description

Meta is seeking researchers and applied scientists for the Central Applied Science team, focusing on delivering innovative research that contributes to the company's success. Candidates should have expertise in quantitative methods, particularly in AI, machine learning, and statistics, and a passion for building data-driven products to solve real-world problems.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD in computer science, statistics or a related field
Publications in Machine Learning, AI, computer science, statistics, data science, or related technical fields
Experience analyzing datasets using languages like Python or R
Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
Experience developing algorithms in languages like Python, C, C++ or Java
Experience analyzing large datasets using tools like Presto, Hive or Spark
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

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 to Meta's community of over 3.8 billion users
Actively identify new opportunities within Meta's long term roadmap for data science contributions

Benefits

Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.