Intern 2026 IBM Research AI Systems

@ IBM

Introduction

IBM Research takes responsibility for technology and its role in society. Working at IBM Research means joining a team that invents what's next in computing, engaging in big, urgent, and mind-bending work that shapes future generations.

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

In the role of Intern 2026 IBM Research AI Systems, you will work on efficient and robust reasoning using multi-modal data. This data spans at least two modalities such as text, image, audio, or video. You will develop AI systems along with software co-design methods to enhance both inference performance and quality.

• Handle multi-modal data including text, image, audio, and video.
• Develop efficient AI systems and robust cognitive models.
• Work with AI classification, fine tuning, and security.
• Collaborate with teams using Transformer models and LLMs.
• Utilize tools like PyTorch, TensorFlow, HuggingFace, and more.

Preferred Education & Technical Expertise

Preferred Education: Master's Degree.

Required Expertise: Experience with Transformers, SciPy, Scikit-learn, LangChain, LLMs, PyTorch, Github, Numpy, TensorFlow, HuggingFace, as well as programming languages like C, Java, Python, Matlab. Familiarity with AI classification, AI for images, fine tuning, and AI security is required.

Key skills/competency

• IBM Research
• Multi-modal AI
• Transformers
• PyTorch
• TensorFlow
• LLMs
• Software co-design
• Data optimization
• Robust reasoning
• AI security