Intern, Computational and Applied Mathematics
About The Position
The Applied Sciences Laboratory at SRI International is seeking a Summer Intern to conduct research and development in the areas of mathematics of generative AI models (specifically large language models), scalable graph analysis methods, and network sciences. Experience with implementing scalable software associated with these areas is highly desired. The position will be in support of a new computational and mathematical sciences team at SRI International. Our team focuses on the development of new algorithms for a wide variety of exciting applications including supply chain networks, social graphs, optimization of generative AI models, material failures, and biological systems. The aim of the team is to conduct and publish research at top venues and assist SRI commercialize relevant technologies by filing patents and spinning out start-ups. The Summer Intern will work onsite in our Menlo Park, CA office.
Requirements
- Currently enrolled in a PhD program in Applied Mathematics, Computer Science, or Engineering with a focus on computational sciences or a related area.
- Some publications, experience in algorithm development associated with artificial intelligence and graph theory.
Responsibilities
- Training generative AI models
- Experience with Reinforcement Learning approaches and theory
- Designing and implementing distributed algorithms for large graphs
- Assist in developing research ideas
- Instantiate the approaches in prototype software
- Lead the experimental evaluation of these ideas, compile results, and communicate the results in presentations.
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What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
