Intern, Computational and Applied Mathematics at SRI in Menlo Park, CA

Summary: SRI International is an independent nonprofit research institute seeking a Summer Intern to conduct research and development in the areas of mathematics of generative AI models and scalable graph analysis methods. The intern will work on developing new algorithms for various applications and assist in commercializing relevant technologies. 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 Required Qualifications: - Currently enrolled in a PhD program in Applied Mathematics, Computer Science, or Engineering with a focus on computational sciences or a related area - 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 Preferred Qualifications: - Experience with implementing scalable software associated with generative AI models, scalable graph analysis methods, and network sciences - Some publications in algorithm development associated with artificial intelligence and graph theory Required Skills: Generative AI models, Algorithm development, Graph theory Important Skills: Reinforcement Learning Nice-to-Have Skills: Research publication Benefits: SRI's Pay for Outstanding Performance program, Annual Performance Based Compensation program, Competitive benefits package