Research Scientist, Central Applied Science (IC5) jobs in United States
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Meta · 1 day ago

Research Scientist, Central Applied Science (IC5)

Meta builds technologies that help people connect and grow businesses, and they are seeking a Research Scientist to join their Central Applied Science team. The role involves applying quantitative methods to drive research and innovation that contributes to Meta's success across various products and operations.

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Comp. & Benefits

Responsibilities

Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data based 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
Communicate best practices in quantitative analysis to partners
Work collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value
Proactively identify, scope and implement innovative solutions with well defined intermediate milestones
Actively identify new opportunities within Meta's long term roadmap for applied science contributions

Qualification

PhD in Operations ResearchApplied research experienceAlgorithm developmentData analysis with PythonLarge scale AI trainingPublications in leading journalsCombinatorial optimizationPrestoSparkCross-functional communication

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Currently holds a PhD in the field of Operations Research, Computer Science, or a related field
At least 3 years of industry experience as an applied research scientist or a similar role
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

Experience with large scale distributed AI training and inference
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 publications at leading journals or conferences such as ICML, NeurIPS, ICLR, IJCAI, AAAI, KDD, WWW, JMLR, JACM, MLSys or similar
Experience with solving large-scale combinatorial optimization problems

Company

Meta's mission is to build the future of human connection and the technology that makes it possible.

Funding

Current Stage
Late Stage

Leadership Team

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Kathryn Glickman
Director, CEO Communications
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Christine Lu
CTO Business Engineering NA
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