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.
We are looking for highly motivated students to join us as developer interns in ML (training and inference) for Summer 2026. In this role you’ll gain hands-on experience building the infrastructure powering machine learning platforms model inference services and intelligent agents. You’ll work alongside experienced engineers and researchers to design develop and test components of modern Generative AI systems that developers and enterprises rely on. This internship is ideal for students interested in the research related engineering side of AI — from scaling model serving APIs to experimenting with emerging frameworks for AI agents.
What You’ll Gain:
- Mentorship from engineers and researchers working on next-generation AI platforms
- Experience contributing to real-world AI system components
- Opportunity to strengthen development skills in a modern hybrid cloud environment
- A chance to explore how AI workflows are built deployed and scaled in practice
- Currently pursuing a Bachelors or Masters in Computer Science Computer Engineering or related field
- Strong programming skills in Python and/or Go
- Experience with containerization and microservices (Docker Kubernetes or similar)
- Familiarity with Git CI/CD pipelines and collaborative software development
- Exposure to AI agent frameworks (e.g. LangChain AutoGen Haystack or similar)
- Practical knowledge of model serving APIs
- Understanding of distributed systems concepts for scaling AI workloads
- Experience with RESTful APIs development and integration
- Interest in benchmarking profiling or optimizing ML inference pipelines