About the position
At Samsung SDS America, innovation drives everything we do. As the North American subsidiary of Samsung SDS-a global leader in digital transformation-we empower businesses to excel in an ever-changing digital world. Our mission is clear: delivering cutting-edge IT solutions and services that redefine possibilities for our clients. We've earned recognition from industry leaders like Gartner, IDC, and Frost & Sullivan for our expertise in Managed Cloud Services, Cloud Security, and AI innovation. We're proud to play a pivotal role in the digital transformation journey of enterprise clients worldwide. As the AI Sciences Intern, you will have an opportunity to work on improvement in accuracies for Text2SQL and other related LLM problems. You will also have an opportunity to improve Text2SQL inference time efficiency through optimization techniques, as well as you will get exposure to high-quality publication. This is a great opportunity to gain communication and organizational skills in corporate R&D environment. You will get practical knowledge and experience in LLM development, focusing on code generation, Text2SQL, graphical knowledge representation, and RL based reasoning models. You will also be able to develop understanding of business relevance of LLM technologies.
Responsibilities
- LLM based Text2SQL development, incorporating industry challenges and best practices from the field
- Research into the state of the art approaches, develop original ideas, implement / test them
- Performance optimization and benchmark across diverse data sources
- Write and publish the developed technical ideas and empirical results
Requirements
- Must be enrolled in an undergraduate or graduate degree program with a graduation date in 2026 or 2027
- Must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future
- 10-week commitment for 40 hours per week with availability to start June 9th 2025
- Must be able to commute to the office to work at least 3 days onsite
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