Meta is undergoing a transformative change in its business and technology, with Machine Learning teams leading this evolution. As a Research Scientist at Meta, you'll work on groundbreaking projects that impact how people connect worldwide. The role involves tackling machine learning challenges from a system engineering perspective, working with massive-scale data and leveraging Meta's innovations in Distributed Computing, Artificial Intelligence, and Databases.
You'll be responsible for developing scalable classifiers and tools, working with state-of-the-art machine learning models, and adapting methods for modern parallel environments. The position requires expertise in machine learning, programming, and system architecture, with opportunities to work alongside world-class engineers and researchers.
The ideal candidate should have a PhD in a relevant field, strong programming skills, and experience with machine learning frameworks. You'll have the opportunity to own the complete ML lifecycle, define projects, and drive excellence across teams. This role offers the chance to work on some of the most exciting and massive social data and prediction problems while contributing to Meta's mission of connecting people and building the future of social technology.
Meta offers a collaborative environment where you'll work on projects that push the boundaries of current technology, with access to cutting-edge resources and the opportunity to make a significant impact on products used by billions of people globally.