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Postdoctoral Researcher, Trustworthy ML (PhD)

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Meta

Apr 23

  • Job
    Full-time
    Entry Level
  • Research & Development
    Data
  • San Francisco, +2

AI generated summary

  • You need a PhD in AI/ML or related field, experience with learning frameworks and C++, and a strong publication record. Must have work authorization and proven track record of achievements. Experience with large scale data, problem solving, and privacy/fairness is preferred.
  • You will engage with FAIR researchers to develop and implement a research agenda, publish top-tier works, and identify impactful projects in unexplored domains, making external impact.

Requirements

  • 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.

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.

FAQs

What is the focus of the Postdoctoral Researcher position in Trustworthy ML at Meta?

The focus of this position is on 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. The goal is to develop novel approaches that lead to better solutions for core machine learning problems, with a focus on trustworthy aspects of machine learning.

Meta

Technology
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

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.