Research Intern - 67436 - IBM

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

IBM Research Africa is excited to announce openings for its Research Internship program. This is a unique opportunity to work on groundbreaking technology solutions, develop scalable software systems, and collaborate with leading research scientists and engineers in fields such as generative AI, quantum machine learning, and cloud-based workflows.

 As a Research Intern, you will have the opportunity to help develop foundation models, agentic workflows, quantum-ML algorithms, and approaches that impact fundamental sciences and application areas alike.  You will work on industry research projects, take part in  research meetings and discussions, contribute to internal and open-source code repositories, and contribute to commercial products and outputs such as research papers and patents.

Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise

Currently enrolled in an M.Sc, or Ph.D degree program in Computer Science, Computer & Electronics Engineering, Machine Learning, Data Science, Statistics, Quantum Computing, or related technical fields.
Proficiency in Python, PyTorch, or TensorFlow, and experience in any additional programming languages such as Java, C/C++, etc.
Good understanding of machine learning algorithms.
Knowledge of optimization approaches
Strong problem-solving and analytical skills.
Good communication and collaboration skills.

Preferred technical and professional experience

Experience publishing and presenting research in technical communities (e.g., Neurips, CVPR, ICML, ICLR, IJCAI, AAAI, KDD, IEEE QCE).
Good understanding of Quantum computing
Experience in MLOps.