• Intern 2026: IBM Research AI Systems

    IBM (Yorktown Heights, NY)


    Introduction

     

    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.

    Your role and responsibilities

    Efficient and robust reasoning on multi-modal data have attracted many big data and AI powered computing enterprises in industry and academic research communities. Multi-modal data consists at least two or three data modalities, ranging from text (e.g., text documents, tabular, time series) to image, video, or audio. This project aims to develop systems and AI software co-design methods and optimizations to improve both efficiency and robustness of multi-modal cognitive systems in terms of inference performance and inference quality. The intern we are looking for will have the ability to work on efficient and robust AI systems based on multi-modal data, where at least two or more data modalities ranging from text, image, audio, or video are utilized. More specifically, the intern will develop AI systems and software co-design methods and optimizations to improve both efficiency and robustness of multi-modal cognitive system in terms of inference performance and quality.

    Required technical and professional expertise

    * Experience with Transformers, SciPy, Scikit-learn, LangChain, LLMs, PyTorch, Github, Numpy, Tensorflow, HuggingFace

    * Experience with C, Java, Python, Matlab

    * Experience with AI classification, AI for images, fine tuning, AI security

     

    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.