• Research Scientist - Central Applied Science

    Meta (Menlo Park, CA)


    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. Individuals in this role are expected to have expertise and publications within research areas including artificial intelligence, machine learning, statistics, causal inference and experimentation. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.

    Required Skills:

    Research Scientist - Central Applied Science Responsibilities:

    1. Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.

    2. Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.

    3. Work towards long-term ambitious research goals, while identifying intermediate milestones.

    4. Communicate best practices in quantitative analysis to partners.

    5. Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value to Meta's community of over 3.8 billion users.

    6. Actively identify new opportunities within Meta's long term roadmap for data science contributions.

    Minimum Qualifications:

    Minimum Qualifications:

    7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

    8. PhD in computer science, statistics or a related field

    9. Publications in Machine Learning, AI, computer science, statistics, data science, or related technical fields

    10. Experience analyzing datasets using languages like Python or R

    11. Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn

    12. Experience developing algorithms in languages like Python, C, C++ or Java

    13. Experience analyzing large datasets using tools like Presto, Hive or Spark

    14. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

    Public Compensation:

    $70.67/hour to $208,000/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 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].