Intern Research Scientist AI-powered Automation

@ IBM

Introduction

IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you join a team that invents what's next in computing, tackling big, urgent, and mind-bending challenges with real-world impact.

Role and Responsibilities

This internship positions you at the heart of IBM. As an Intern Research Scientist AI-powered Automation, you will advance research and development in artificial intelligence and foundation models. You will collaborate with researchers and engineers to conduct world-class research and software development, with a focus on areas such as Natural Language Processing, Distributed (Edge) AI, Trusted AI, Scalable Data Engineering, and various AI applications.

Key Technical Areas

• Programming Languages: Python, Java, C/C++, JavaScript, R.
• Software engineering best practices (Agile).
• Cloud-native development using Docker, Kubernetes, OpenShift.
• Machine learning engineering with toolkits like PyTorch, TensorFlow, scikit-learn.
• Algorithm design, validation, and characterization.
• Backend storage: SQL and NoSQL databases such as Postgres, MongoDB, Cloudant, ElasticSearch.

Preferred Experience

Interns are expected to have a proven interest in driving a research agenda through publication at top academic venues. Previous experience analyzing large-scale data, publishing in technical communities (e.g., NeurIPS, ICML), and working with both front and back-end development is a plus.

Key Skills/Competency

• Artificial Intelligence
• Machine Learning
• Research
• Python
• Cloud-native
• Agile
• Data Engineering
• Algorithm Design
• Software Development
• Collaboration