Research Scientist - Statistics & Privacy (Privacy-Preserving ML)

Facebook

Bellevue, WA, US / Menlo Park, CA, US / Seattle, WA, US / Boston, MA, US / New York City, NY, US / San Francisco, CA, US / Remote
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 04/19/2021
  • Website: facebook.com
  • Company Address: 1 Hacker Way, Menlo Park, CA, 94025

About Facebook

Facebook is a social utility that connects people with friends and others who work, study and live around them. People use Facebook to keep up with friends, upload an unlimited number of photos, share links and videos, and learn more about the people they meet.

Job Description

Our Statistics & Privacy team focuses on establishing step-change improvements to advance our long-term business growth. The team's expertise spans many domains including statistics, machine learning, economics, and cryptography. We develop methodologies, design and prototype solutions, and partner with our engineering colleagues to launch these solutions such that millions of advertisers can benefit.

We seek Research Scientists to identify new opportunities and help build scientifically rigorous systems focused on enhancing technological guarantees for consumer privacy while simultaneously expanding the efficiency of Facebook’s market-leading advertising optimization systems. Challenges include incorporating approaches such as differential privacy and multi-party computation within our ads delivery systems, designing machine learning systems on encrypted data and/or in decentralized or federated environments, and advancing the efficient frontier of privacy and utility in our ads systems.
Research Scientist - Statistics & Privacy (Privacy-Preserving ML) Responsibilities
  • Identify specific, high-impact opportunities to build new and improve existing advertising and commerce solutions
  • Design and prototype new algorithms, optimization methods, and system architectures
  • Assess the validity and rigor of new approaches
  • Build cross-functional relationships with AI, Engineering, Product and Analytics teams to shape long-term roadmaps with a balance of scientific rigor and strategic considerations
  • Publish research results in top-tier journals and at leading conferences
Minimum Qualifications
  • PhD in Computer Science, Electrical Engineering, Statistics, or other quantitative fields, or MS/MA degree with 4+ years of relevant experience in research science
  • Understanding of modern machine learning techniques and their mathematical underpinning
  • Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular business needs and tested on large data sets
  • Proficiency in Python
  • Experience with communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training
  • Experience to track record of innovation
  • Expertise with at least one of the following privacy technologies: Secure multi-party computation techniques, Differential privacy, Federated Learning, optimization algorithms and protocols, Learning on encrypted data, Homomorphic encryption, Trusted execution environments

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.