Research Scientist, Central Applied Science

Meta • New York, NY • 7h ago

Summary:

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.

Required Skills:

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 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

Minimum Qualifications:

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 Qualifications:

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

Public Compensation:

$74.04/hour to $217,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereo@types, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

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