Research Scientist • Intern

Who you are

You are a PhD candidate with a strong background in Artificial Intelligence, particularly in Natural Language Processing and Multimodal Foundations. Your passion for advancing AI technologies drives you to explore innovative solutions in areas such as machine translation, speech translation, and natural language understanding. You have experience with core algorithmic advances and are eager to apply your knowledge at scale.

You possess expertise in various domains of AI, including computer vision, language modeling, and reinforcement learning. Your understanding of low-resource NLP and cross-lingual transfer learning enables you to tackle complex challenges in the field. You are a collaborative team player who thrives in a research environment, eager to contribute to groundbreaking projects.

What you'll do

As a Research Scientist Intern at Meta, you will join the FAIR Multimodal Foundations team, where you will work on advancing AI technologies that help us understand and interact with the world. You will have the opportunity to make significant contributions to research projects focused on Natural Language Processing and multimodal understanding. Your role will involve developing and testing algorithms, collaborating with experienced researchers, and applying your ideas to real-world applications.

You will engage in research that spans various aspects of AI, including deep learning and machine learning techniques. Your work will contribute to the development of innovative solutions that enhance the capabilities of AI systems. You will also have the chance to present your findings and collaborate with other teams within Meta, fostering a culture of knowledge sharing and innovation.

What we offer

Meta provides a dynamic internship experience that allows you to immerse yourself in cutting-edge AI research. You will have access to a wealth of resources and mentorship from leading experts in the field. The internship lasts between twelve to twenty-four weeks, with flexible start dates throughout the year. This is an excellent opportunity to gain hands-on experience in a leading AI research environment and make meaningful contributions to the field.