We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to have expertise and publications within research areas in the board field of machine learning. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.
Research Scientist, Central Applied Science 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.
Learn new tools, systems, and programming languages quickly as required by the particular project you are working on.
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.
Publish research results in top-tier conferences and at leading journals.
Actively identify new opportunities within Meta's long term roadmap for applied science contributions.
Requirements: Minimum Qualifications
Currently holds a PhD in the field of Computer Science, Data Science, or a related field from a top-tie academic institution.
At least 5 years of industry experience as an applied research scientist or a similar role, studying and developing machine learning technologies.
Experience with empirical research and for answering questions with data.
Experience developing algorithms in languages like Python, C, C++ or Java.
Experience analyzing datasets using languages like Python.
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Preferred Qualifications
Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
Experience working and communicating cross functionally in a team environment.
Experience analyzing large datasets using tools like Presto, Hive or Spark.
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading journals or conferences such as ICML, NeurIPS, ICLR, IJCAI, AAAI, KDD, WWW, JMLR, JACM or similar.
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