What are the responsibilities and job description for the AI Algorithms and Applications Intern position at 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
As a summer intern, you will contribute to the design and development of large-scale AI models and algorithms for applications across scientific domains. Your work will focus on building and evaluating research prototypes that advance AI methods for scientific applications while maintaining adherence to domain physics. Our team collaborates actively with NASA and the European Space Agency to develop AI foundation models for science.
Preferred Education
Master's Degree
Required Technical And Professional Expertise
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
As a summer intern, you will contribute to the design and development of large-scale AI models and algorithms for applications across scientific domains. Your work will focus on building and evaluating research prototypes that advance AI methods for scientific applications while maintaining adherence to domain physics. Our team collaborates actively with NASA and the European Space Agency to develop AI foundation models for science.
Preferred Education
Master's Degree
Required Technical And Professional Expertise
- Strong foundation in mathematics and algorithms with the ability to reason about complex dynamic systems
- Experience with AI/ML model design and training
- Proficiency in Python and modern deep learning frameworks (e.g., PyTorch)
- Collaborative mindset with a drive to produce innovative, publishable research
- Current enrollment in a PhD program
- Experience working with large, complex datasets and high-performance computing environments
- Background in developing and implementing new AI methods, such as extending context length in vision models, improving memory efficiency, effective model distillation or enhancing structural awareness in dynamic system modeling
