Research Scientist • Intern

Who you are

You are a PhD candidate with a strong background in artificial intelligence and a passion for advancing the field through innovative research. Your expertise spans various areas including deep learning, computer vision, and natural language processing, allowing you to contribute meaningfully to cutting-edge projects. You possess a solid understanding of machine learning principles and are eager to apply your knowledge in real-world scenarios. Your analytical skills are complemented by a creative approach to problem-solving, enabling you to tackle complex challenges in AI. You thrive in collaborative environments and are excited about the opportunity to work alongside leading experts in the field. You are committed to making significant contributions to the development of technologies that enhance our understanding of the world.

What you'll do

As a Research Scientist Intern at Meta, you will have the opportunity to make core algorithmic advances in artificial intelligence. You will engage in research that focuses on deep learning, computer vision, and natural language processing, applying your ideas at an unprecedented scale. Your work will involve developing and testing new algorithms, analyzing data, and collaborating with other researchers to push the boundaries of AI technology. You will participate in discussions and brainstorming sessions, contributing your insights and learning from experienced professionals in the field. This internship will provide you with hands-on experience in a fast-paced research environment, allowing you to grow your skills and expand your professional network.

What we offer

Meta offers a dynamic internship experience where you can immerse yourself in the world of artificial intelligence. You will have access to state-of-the-art resources and tools, enabling you to conduct impactful research. The internship lasts between 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 collaborative team that values innovation and creativity, and you will have the chance to contribute to projects that have the potential to shape the future of AI. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.