Research Scientist • Intern

Who you are

You are a PhD candidate with a strong foundation in artificial intelligence and machine learning. Your academic background has equipped you with the skills to push the boundaries of state-of-the-art research, and you are eager to apply your knowledge in a practical setting. You thrive in collaborative environments, working closely with researchers and engineers to develop innovative solutions that enhance user experiences and advertiser value.

Your experience includes a deep understanding of model architecture, representation learning, and optimization techniques. You are passionate about leveraging AI to improve personalized ad delivery and have a keen interest in exploring how user interactions can inform better monetization strategies. You are also familiar with the latest advancements in AI and machine learning, and you are excited about the opportunity to contribute to impactful projects at Meta.

What you'll do

As a Research Scientist Intern at Meta, you will join the Monetization Ranking & AI Foundations team, where you will work on cutting-edge AI and machine learning technologies. Your responsibilities will include collaborating with cross-functional teams to design and implement experiments that advance the state of AI in monetization. You will have the opportunity to share your findings through top-tier publications and contribute to open-source projects, ensuring that your work has a broad impact.

You will engage in research that focuses on ranking, retrieval, and understanding user signals related to ad interactions. Your role will involve analyzing data to derive insights that can inform model improvements and enhance the overall effectiveness of personalized advertising. You will also participate in discussions with other researchers and engineers, contributing your unique perspective and expertise to drive innovation.

What we offer

Meta provides a dynamic internship experience that allows you to make meaningful contributions to the field of AI and machine learning. You will have access to a wealth of resources and support from experienced professionals who are leaders in their fields. The internship duration ranges from twelve to twenty-four weeks, with various start dates throughout the year, providing flexibility to accommodate your academic schedule. You will be part of a vibrant community that values collaboration, creativity, and the pursuit of excellence in technology.