IBM Research aims to invent what's next in computing and solve big, urgent, and mind-bending problems that shape generations, focusing on the real-world impact of technology for clients.
Requirements
- Strong programming skills in Python.
- Familiarity with machine learning fundamentals, natural language processing and generative AI.
- Understanding of MLOps concepts (model deployment, monitoring, scaling).
- Prior experience with open-source contributions, research projects, or hackathons related to AI.
Responsibilities
- Collaborate with AI researchers and engineers to design, prototype, and implement AI solutions.
- Work with large language models (LLMs), multimodal models, and agentic frameworks to solve real-world use cases.
- Design, build, and maintain AI agent frameworks and platforms that enable scalable orchestration, tool integration, and autonomous task execution across enterprise and user-facing applications.
- Develop experimental demos, proof-of-concepts, and integrations that showcase the value of AI.
- Stay current with recent AI research and propose ways to bring new methods into practical applications.
Other
- Currently pursuing a Master’s degree in Computer Science, Engineering, or related field.
- Strong problem-solving mindset and ability to work in a collaborative team environment.
- Currently pursuing a PhD.
