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Research Scientist
Research Scientist-September 2024
Bellevue
Sep 14, 2025
ABOUT META
We’re building a team as diverse as the communities and billions of people we serve every day. Our teammates don’t need to conform here. Lived experiences are an asset, and we value your unique perspe
10,000+ employees
Social Media, Technology
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About Research Scientist

  Summary:

  Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, WhatsApp, and Novi further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. Instructions on how to apply, click “Apply to Job” online on this web page.

  Required Skills:

  Research Scientist Responsibilities:

  Perform research and develop solutions to computer software and computer hardware problems

  Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta’s platforms

  Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure

  Utilize technical research background, train new ranking models, and run experiments

  Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure

  Use machine learning, statistics, or other data techniques to build algorithms

  Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps

  Analyze and resolve computer challenges from a system engineering standpoint

  Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors

  Demonstrate good judgment in selecting methods and techniques for obtaining solutions

  Measure and monitor the quality (label consistency, distribution and data volume) of large-scale training data to continuously guard their robustness

  Drive the collaboration with cross-functional teams to build auto root-causing analysis tools for training data robustness

  Optimize the data quality services to maximize their success rates and expand their coverage

  $169,031.39/year to $194,000.00/year + bonus + equity + benefits. Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link: https://www.metacareers.com/facebook-life/benefits.

  Minimum Qualifications:

  Minimum Qualifications:

  Requires a PhD degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field. Position also requires completion of a university-level course, research project, internship, thesis in the following:

  Algorithms, data structures, or systems software

  Solving analytical problems using quantitative approaches

  Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources

  Communicating complex research in a clear, precise, and actionable manner

  Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision

  Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines

  Devising better data-driven models of human behavior

  Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU

  Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models

  Java, C++, Perl, PHP, or Python

  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 stereotypes, 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 [email protected].

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