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Research Scientist Intern, FM Quality ML (PhD)
Meta Platforms · Menlo Park, CA · Posted today
Help post-train LLMs into a quality foundation model that reasons over billions of people's ad and organic interaction history to predict ad quality signals.
Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.
Meta is seeking Research Interns to join the FM Quality ML team within Facebook Ads Ecosystem. FM Quality sits at the intersection of machine learning and system optimization across Meta's family of apps. We answer three fundamental questions: how many ads to show, which ads are best for each person, and how to deliver them, balancing revenue growth with user experience. Our team applies state-of-the-art ML, Generative AI, Reinforcement Learning, and large-scale systems to personalize ad quality across Feed, Videos, Reels, and Stories. We own 0→1 initiatives end-to-end and collaborate broadly across Facebook and Instagram to build the foundation for sustainable business growth. Our interns will have the opportunity to frame practical, high-impact ads quality problems as rigorous machine learning problems, and bring their own expertise to build innovative solutions under the guidance of our research scientists and software engineers.
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This role is one of 966 Research Scientist openings and centers on Machine Learning, Large Language Models, Reinforcement Learning, and Generative AI. There are 1,402 open roles at Meta Platforms right now.
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