Research Scientist • Internship

Who you are

You are a PhD candidate with a strong background in AI and machine learning, eager to apply your knowledge in a practical setting. You have experience in conducting research and are familiar with the latest advancements in recommendation systems. Your analytical skills allow you to model user interests and preferences effectively, and you are passionate about leveraging AI to improve user experiences. You thrive in collaborative environments and are excited about the opportunity to work alongside world-class researchers and engineers at Meta.

Desirable

Experience with multi-modal content analysis, particularly in understanding images and videos, is a plus. Familiarity with publishing scientific papers and contributing to the academic community will enhance your candidacy. You are motivated by the potential impact of your work on millions of users worldwide.

What you'll do

As a Research Scientist Intern at Meta, you will engage in groundbreaking research focused on advancing state-of-the-art recommendation systems. You will work with a team of AI Research Scientists and Engineers to explore innovative approaches to modeling user interactions and preferences. Your role will involve analyzing various data signals, including audio, visual, text, and metadata, to enhance the relevance of recommendations across Meta's platforms. You will contribute to the development of tools and frameworks that support the deployment of AI models in real-world applications. Additionally, you will have the opportunity to publish your findings and contribute to the academic discourse surrounding AI and recommendation systems.

What we offer

Meta provides a dynamic internship experience that allows you to make a meaningful impact in the field of AI. You will have access to cutting-edge resources and the opportunity to collaborate with leading experts in the industry. This internship is designed to last between twelve to twenty-four weeks, providing you with ample time to immerse yourself in research and contribute to significant projects. You will also benefit from a supportive environment that encourages learning and professional growth, as well as the chance to network with professionals across various teams within Meta.