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    Postdoctoral Researcher, Trustworthy ML - San Francisco, United States - Meta Platforms, Inc.

    Meta Platforms, Inc.
    Meta Platforms, Inc. San Francisco, United States

    1 day ago

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    Description

    Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI.

    Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence and machine learning.

    In particular, we are looking for candidates interested in exploring the impact of data curation on privacy, fairness, and robustness as well as other topics in privacy and security of large-scale multi-modal models.

    Potential research directions may investigate whether data curation has disparate impacts across groups, how data design impacts the ability of adversaries to compromise privacy, whether data choices can improve fairness, or other directions related to these topics.

    Projects will be determined together with the Postdoc, supervisor, and other researchers in FAIR.

    We are seeking candidates with a keen interest in developing novel approaches that lead to better solutions for core machine learning problems, with a focus on trustworthy aspects of machine learning, such as privacy, fairness and robustness.

    Postdoc positions are one to two year fixed-term positions.

    Postdoctoral Researcher, Trustworthy ML (PhD) Responsibilities


    • Engage with the supervisor and other researchers in Fundamental AI Research (FAIR) to develop and implement research agenda, publish world-class research works, and make external impact.
    Identify highly impactful projects in a complex and unexplored domain.

    Minimum Qualifications


    • Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Machine Learning, Operation Research or a related field, or equivalent practical experience. Degree must be completed prior to joining Meta
    Experience in learning frameworks (such as PyTorch, TensorFlow), C, C++, Python.

    Basic research experience with publications in conferences/journals in the related fields.

    Have basic research experience with publications in conferences/journals in the related fields


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

    Publication record in Machine learning or related area.


    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.

    Preferred Qualifications


    • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR). Other closely related track records (e.g., Operation Research, MLSys) will also be considered in a case-by-case manner.
    Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

    Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.

    Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward.

    Prior experience working with multimodal models or on privacy and fairness.

    Locations

    About Meta

    Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp 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.

    People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.


    Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

    If you need support, please reach out to accommodations-$117,000/year to $173,000/year + 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, equity or sales incentives, if applicable.

    In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
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