Research Scientist, Machine Learning (PhD)

Meta is leading a transformative change in social technology, with their Machine Learning teams at the forefront. This Research Scientist role offers an opportunity to work on unprecedented projects that will reshape how people connect globally. The position involves tackling machine learning challenges from a system engineering perspective, working with massive-scale computing systems that process trillions of actions.

The role combines cutting-edge research with practical implementation, leveraging Meta's innovations in Distributed Computing, Artificial Intelligence, and Databases. You'll work with technology running on hardware specifications shared through the Open Compute project, making this an opportunity to impact both theoretical and applied machine learning.

As a Research Scientist, you'll own the complete ML lifecycle, from project definition to implementation. You'll collaborate with world-class engineers and researchers on solving some of the most challenging social data and prediction problems on the web. The position requires expertise in recommendation systems, classification, and optimization problems.

The ideal candidate should have a PhD in Computer Science, Computer Vision, Machine Learning, or a related field, with strong programming skills and experience with modern ML frameworks. You'll need to demonstrate expertise in areas like NLP, recommendation systems, pattern recognition, or AI, with the ability to translate research insights into practical business solutions.

This role offers competitive compensation, including a base salary range of $56,250 to $173,000 annually, plus bonus and equity opportunities. Meta provides a comprehensive benefits package and the chance to work at one of the world's leading tech companies, shaping the future of social connection and immersive technologies.

Working at Meta means being part of a company that's pushing beyond traditional digital connections into new frontiers like augmented and virtual reality. You'll be contributing to technology that transcends current limitations of screens, distance, and even physical constraints, making this an exciting opportunity for those passionate about advancing the future of human connection through technology.