Research Scientist Intern, Modern Recommendation Systems

Meta is seeking Research Interns to join our “Modern Recommendation Systems” (MRS) AI Innovation Center. This org brings together a world-class R&D team of researchers, developers, and engineers. The MRS org is developing a unified infrastructure and model service to improve recommendations across Facebook, Instagram and WhatsApp, the “Family of Apps” (FoA). Our interns will have the opportunity to perform research on and even build AI models that will eventually run at the scale of Meta's social network. Our vision is to understand multi-modal content, especially videos, as well user interests/preference. We contribute to the mission of connecting users to the content they enjoy, are inspired by, and that they want to see more of. We conduct cutting-edge research using the complete suite of audio, visual, text and metadata signals associated with posts and videos to improve recommendation relevance across all surfaces and provide a better, more meaningful experience to users. We build tools, create frameworks and train models that we deploy together with product and infrastructure teams to gain adoption across the FoA. We also publish scientific papers to help advance the state of the art in content understanding. Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.