Research Scientist, Central Applied Science

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses.

About the Role

We are looking for Research Scientists to join the Central Applied Science team. This is an interdisciplinary research engineering team focused on developing high-impact central scientific solutions that are broadly applicable across Meta. By applying your research, engineering, and scientific expertise, you will be empowered to drive impact across a range of products, infrastructure, and company operations.

Key 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 analyses to partners
• Work both independently and collaboratively with other scientists, engineers, and product managers to accomplish complex tasks that deliver demonstrable value
• Actively identify new opportunities within Meta's long-term roadmap for applied scientific contributions

Requirements & Tech Stack

• Expertise and publications within research areas including artificial intelligence, machine learning, statistics, causal inference, and experimentation
• Experience building data-driven products and forming research frameworks to solve challenging, real-world problems
• Experience with empirical research and answering questions with data
• Experience developing algorithms in languages such as Python, C, C++, or Java
• Experience analyzing datasets using languages such as Python
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Minimum Qualifications

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• PhD in a relevant field + 9 months programming experience in a relevant language
• A PhD in the field of Computer Science, Statistics, Operations Research or a related field, or equivalent practical experience

Preferred Qualifications

• Experience analyzing large datasets using tools like Presto, Hive, or Spark
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as ICML, NeurIPS, ICLR, KDD, EC, or similar
• Experience working and communicating cross-functionally in a team environment, leading complex projects from project ideation to production launch
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies