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

Facebook Boston , MA 02298

Posted 7 days ago

You can submit up to three job applications every 90 days. Be sure to apply for roles that strongly match your skills and work experience.

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 1+ 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

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

Preferred Qualifications

  • Experience to track record of innovation


About the Facebook company

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together.

Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

Facebook is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or who are neurodivergent, and to candidates with sincerely held religious beliefs or requiring pregnancy related support. If you need support, please reach out to

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