Data Research Intern: Foundation Models for AI Advancements
2 weeks ago
This internship is designed for students pursuing graduate studies in computer science and related fields. As a Data Research Intern, you will work with our team to further improve the capabilities of foundation models for data management tasks such as data discovery, metadata enrichment, and automated data-driven insights.
Key Responsibilities
- Research and develop novel methods for interactive orchestration of data workflows, including natural language to data insights spanning multiple tools and functions.
- Investigate knowledge-driven data discovery and querying with graphs and multi-modal foundation models.
- Explore step-by-step planning and reasoning for complex data workflows, and low-computational cost inference techniques for foundation models to efficiently automate or assist users with data tasks.
Requirements
- Pursuing graduate studies in computer science and related fields.
- Familiarity with large language models, knowledge graphs, and agentic frameworks.
- Experience with reinforcement learning, knowledge distillation, and prompt optimization.
- Strong research skills and ability to work independently.
About IBM Research
IBM Research is the organic growth engine of IBM and an innovation engine for our customers and partners. We create and pioneer new markets for IBM, our partners, and customers as exemplified in our ongoing quest to reach practical and large-scale quantum computing. Our team is dedicated to applying science to some of today's most complex challenges, whether it's discovering a new way for doctors to help patients, teaming with environmentalists to clean up our waterways, or enabling retailers to personalize customer service.
About You
We are looking for interns with a strong passion for research and development, and a desire to make a meaningful impact in the field of artificial intelligence and data management. If you are a motivated and talented individual who is eager to learn and grow with our team, we encourage you to apply for this exciting opportunity.
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