Research Scientist, Central Applied Science (IC5) jobs in United States
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Meta · 2 hours ago

Research Scientist, Central Applied Science (IC5)

Meta is a technology company that builds solutions to help people connect and grow businesses. They are seeking a Research Scientist to join their Central Applied Science team, where the role involves applying quantitative methods to drive impact across a range of 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

Empirical researchAlgorithm developmentData analysisLarge scale AI trainingCombinatorial optimizationPublications in journalsCross-functional communicationLearning new toolsTeam collaboration

Required

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

Benefits

Bonus
Equity
Benefits

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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