Research Scientist • Intern

Who you are

You are pursuing a PhD in a relevant field and have a strong foundation in computer vision, deep learning, and natural language processing. Your passion for generative AI drives you to explore innovative solutions and contribute to impactful research. You possess excellent analytical skills and are comfortable working with complex algorithms and data sets. You thrive in collaborative environments and are eager to learn from experienced researchers while sharing your insights. You are adaptable and open to feedback, understanding that research is an iterative process that requires flexibility and creativity.

What you'll do

As a Research Scientist Intern at Meta, you will join the Products and Applied Research team, where you will have the opportunity to contribute to groundbreaking projects in generative AI. You will work closely with experienced researchers to develop and implement algorithms that enhance our understanding of media and improve user interactions. Your role will involve conducting experiments, analyzing results, and presenting your findings to the team. You will also have the chance to collaborate with cross-functional teams to apply your research at scale, impacting millions of users worldwide. This internship will provide you with valuable experience in a fast-paced research environment, allowing you to grow your skills and make meaningful contributions to the field.

What we offer

Meta offers a dynamic internship experience where you can make significant contributions to cutting-edge research. You will have access to a wealth of resources and support from a team of experts in AI and machine learning. The internship lasts between twelve to twenty-four weeks, with various start dates throughout the year, providing flexibility to fit your academic schedule. You will also have the opportunity to network with professionals in the industry and gain insights into the latest advancements in AI technology. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.