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Research Scientist, Central Applied Science, Privacy-Preserving ML (PhD)

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Meta

Feb 12

Applications are closed

  • Job
    Full-time
    Entry Level
  • Data
  • New York City, +2

Requirements

  • 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.
  • Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Statistics, Mathematics, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular business needs and tested on large data sets.
  • Proficiency with at least one of the following technologies: (i) Differential Privacy, (ii) Privacy Attacks and Auditing for ML model risks, (iii) Federated Learning, (iv) On-Device Model Personalization.
  • Proficiency in Python.
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, AISTATS, MobiCom, MobiSys, ICLR, etc.
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
  • Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use.
  • Familiarity with one or more deep learning frameworks (e.g. PyTorch, TensorFlow, etc.).
  • Proficiency in C or C++.
  • Experience working and communicating cross-functionally in a team environment.

Responsibilities

  • Assess potential opportunities and execute world-class research associated with privacy-preserving techniques, federated learning, and on-device personalization.
  • Design and prototype new algorithms or mechanisms, optimization methods, and system architectures.
  • Derive theoretical formulations when necessary.
  • Implement new algorithms or mechanisms, deploy them into internal or open-sourced libraries and tooling platforms, and conduct empirical studies on internal datasets to showcase value for real world applications.

FAQs

What is the primary focus of the Research Scientist role in Central Applied Science for Privacy-Preserving ML at Meta?

The primary focus of this role is to identify new opportunities and help build scientifically rigorous systems focused on enabling new capabilities and improved performance for Meta's products across Facebook, Instagram, WhatsApp, Messenger, and Reality Labs in the area of privacy-preserving 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.