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 3 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 and tradeoffs 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.
This position is open to all candidates.