Research Scientist • Intern

Who you are

You are a PhD candidate with a strong background in machine learning and natural language processing (NLP) — you have experience framing practical challenges into rigorous problems and are excited about the impact of recommendation systems on user experience. You possess a keen understanding of how user preferences can vary dramatically over time and across different contexts, and you are eager to apply your expertise to build innovative solutions. You thrive in collaborative environments, working alongside research scientists and software engineers to tackle complex challenges. You are passionate about leveraging generative AI innovations to enhance user engagement and content recommendations.

What you'll do

As a Research Scientist Intern at Meta, you will join the Feed Recommendations team, where you will participate in the process of transforming high-impact challenges into machine learning problems. You will work on developing algorithms that optimize content recommendations for millions of users, ensuring that the right content is suggested at the right time. You will collaborate closely with experienced researchers and engineers, gaining hands-on experience in the field of recommendation systems. Your role will involve analyzing user behavior and preferences, experimenting with different models, and contributing to the development of innovative solutions that enhance user engagement on the platform. This internship will provide you with valuable insights into the intersection of machine learning and user experience, preparing you for a successful career in research and development.

What we offer

Meta offers a dynamic internship experience where you will have the opportunity to make a meaningful impact on how users interact with content on the platform. You will be part of a team that values innovation and collaboration, providing you with the support and resources needed to excel in your role. The internship duration ranges from twelve to twenty-four weeks, with various start dates throughout the year. You will gain exposure to cutting-edge technologies and methodologies in machine learning and NLP, setting the stage for your future career in research and technology.