Intern, Computational and Applied Mathematics

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 support 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 in commercializing relevant technologies by filing patents and spinning out start‑ups. The Summer Intern will work onsite in our Menlo Park, CA office. 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. Qualifications 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. Compensation and Benefits The salary range is: $40-$45+ per hour. Salary ranges will vary and are based on several factors, including geographic location, market competitiveness and equity among internal employees in similar roles. Positions may also qualify for SRI's Pay for Outstanding Performance program or the annual Performance Based Compensation program. SRI also has a competitive benefits package. #J-18808-Ljbffr

Salary: USD 40 - 45 per hour