Intern program - Research Scientist - Master Degree

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
This internship is an excellent opportunity for graduate students to immerse themselves into a research-oriented environment where they can significantly contribute to impactful projects and drive their professional development.
You will:

• Design implement and maintain software components for foundation models. Ensure that the developed features are robust scalable and efficient.
• Work closely with researchers scientists and domain experts to understand their needs and provide technical support.
• Create technical documentation including design specifications user guides and API documentation to facilitate the integration and usage of new components.
• Contribute to the identification of research directions methodologies and potential applications. .

What a master student will get from this internship:
• An opportunity to publish as well as to make real-world impact through collaboration with product builders.
• Collaborate with world-class researchers and software engineers from renowned institutions.

Todas as vagas são elegíveis para pessoas com deficiência ou reabilitadas.

Required Technical and Professional Expertise

• Master student in Computer Science or any related disciplines that will finish the course in the final of 2025 or afterwards.
• Some experience with Foundation Models Large Language Models Natural Language Processing.
• Enthusiasm collaborative approach willingness to learn proactive communication and an eye for detail.
• Fluent English.

Preferred Technical and Professional Expertise
• Ability to collaborate for research.
• Familiarity with software engineering practices version control and agile development methodologies.