Job Location : Yorktown Heights,NY, USA
IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
Join the pioneering AI Foundations Research team at IBM Research and contribute to shaping the future foundations of artificial intelligence. Our group of scientists, engineers, and designers is dedicated to conducting end-to-end research that delivers real-world AI impact through a rigorous, responsible, and open innovation framework. We are the team behind IBM's Granite open-source models, and our work spans multi-modal (vision, speech, language, code) and multi-lingual systems, data quality, data generation, novel model architectures, training recipes, governance and trustworthiness, and programming models for interacting with models.
As an intern, you will explore cutting-edge research areas, including new algorithms for training, fine-tuning, and inference time scaling, alongside pioneering work in generative computing and generative programming for language, code, and other modalities, all within a collaborative environment that bridges fundamental science and transformative engineering. As an AI Research Scientist Intern, you will engage in the full research lifecycle to pioneer new advancements in artificial intelligence. Your role will involve identifying core challenges, designing novel prototype solutions, and validating them through rigorous experimentation. You will conduct foundational research in critical areas such as novel training algorithms, efficient fine-tuning, and inference-time scaling for multi-modal models. Collaborating in small, mentored teams, you will be responsible for shepherding projects from ideation to completion. A key objective is to disseminate significant results through publications in leading conferences and patent applications, contributing to both the academic community and IBM's open innovation initiatives.
Required technical and professional expertise:
Preferred technical and professional experience:
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.