Research Scientist • Intern

Who you are

You are a PhD candidate with a strong background in deep learning and machine learning, particularly with experience in frameworks like PyTorch. Your academic and research experiences have equipped you with the skills to tackle complex AI challenges, especially in the context of on-device applications. You have a keen interest in optimizing AI models for edge devices and are excited about the potential of mobile hardware in AI inference and training.

You possess excellent problem-solving skills and can work collaboratively with cross-functional teams, including hardware vendors and application developers. Your ability to communicate complex ideas clearly and effectively makes you a valuable team member. You are eager to learn and adapt in a fast-paced research environment, contributing to innovative solutions that push the boundaries of AI technology.

What you'll do

As a Research Scientist Intern, you will be involved in developing ExecuTorch, the PyTorch solution for on-device AI. You will partner with Reality Labs to explore AI applications on AR/VR hardware, ensuring that AI capabilities are seamlessly integrated into Meta's family of apps on iOS and Android. Your role will also include collaborating with hardware vendors to create high-performance AI kernels, providing on-device AI inference, feature stores, benchmarking, and model delivery.

Throughout your internship, you will engage in hands-on experimentation and research, contributing to the advancement of PyTorch's capabilities in edge computing. You will have the opportunity to work closely with experienced researchers and engineers, gaining insights into the latest developments in AI and machine learning. Your contributions will help shape the future of AI applications at Meta, impacting millions of users worldwide.

What we offer

Meta provides a dynamic internship experience where you can apply your academic knowledge to real-world challenges. You will have access to cutting-edge technology and resources, allowing you to explore innovative solutions in AI and machine learning. The internship duration ranges from twelve to twenty-four weeks, with various start dates throughout the year, providing flexibility to fit your academic schedule. You will also have the chance to network with professionals in the field and gain valuable insights into the tech industry, enhancing your career prospects in AI research and development.