Intern 2026: AI Platform Developer

Description du poste:

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

Conduct design and development of software platforms that enable the creation, deployment, and management of artificial intelligence and machine learning models, including LLMs. This includes the development of frameworks, tools, and infrastructure that support the entire AI lifecycle. Requires understanding of AI systems and cloud computing, as well as expertise in areas such as developing the AI software stack, including components such as data ingestion and processing, model architectures and compilation, training, serving, and monitoring, to support the creation and deployment of AI applications and agentic workloads.

Required education
High School Diploma/GED

Preferred education
Bachelor's Degree

Required technical and professional expertise

* Background in artificial intelligence and machine learning, including areas such as deep learning, LLMs and foundation models
* Background in software development, including proficiency in languages such as Python, PyTorch, Go, and C++
* Familiarity with containerization using Docker and Kubernetes, or other container orchestration tools

Preferred technical and professional experience

* Development experience in AI platforms, including the implementation of AI frameworks, compilers, tools, or infrastructure
* Developing AI software stack, including components such as data ingestion and pre-processing, model training, model serving, and monitoring
* Development of cloud-based AI platforms that leverage cloud computing resources, including compute accelerators, storage, and networking
* Experience in contributing to opensource projects