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Meta · 8 hours ago

Research Scientist, Central Applied Science

New York, NY

Full-time

Onsite

Senior Level

Meta is an innovative company focused on building technologies that connect people and empower communities. They are seeking Research Scientists to join their Central Applied Science team, where the main responsibilities include developing quantitative methods, generating research questions, and collaborating with other scientists to drive impactful scientific solutions.

Computer Software

Comp. & Benefits

No H1B

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

Qualification

PhD in Computer ScienceMachine LearningStatistical AnalysisAlgorithm DevelopmentPythonData AnalysisLarge Dataset AnalysisCross-functional CommunicationProblem Solving

Required

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

A PhD in the field of Computer Science, Statistics, Operations Research or a related field, or equivalent practical experience

Experience with empirical research and for 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

Preferred

Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward

Experience working and communicating cross functionally in a team environment, leading complex projects from project ideation to production launch

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 workshops, journals or conferences such as ICML, NeurIPS, ICLR, KDD, EC, or similar