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Intern, Computational and Applied Mathematics

Remote:

Full Remote

Contract:

Part time

Salary:

77 - 86K yearly

Experience:

Entry-level / graduate

Work from:

California (USA), United States

Offer summary

Qualifications:

Currently enrolled in a PhD program in Applied Mathematics, Computer Science, or Engineering., Experience in algorithm development related to AI and graph theory., US Citizen or Permanent Resident required., Some publications in the field preferred..

Key responsabilities:

Train generative AI models and fine-tune LLMs.
Design and implement distributed algorithms for large graphs.
Assist in developing and evaluating research ideas.
Communicate results through presentations.
Compile experimental evaluation results.

SRI International Research Large https://www.sri.com/

1001 - 5000 Employees

See more SRI International offers

Job description

Overview:

The Applied Sciences Laboratory at SRI International is seeking an 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 Intern would work a hybrid schedule if local to Menlo Park, CA, Princeton, NJ or Boulder, CO. If the intern is not local to one of those offices they can work fully remotely. The intern could work full time or part time depending on school schedule, ideal start date would be in January 2025.

Responsibilities:

Training generative AI models
Fine tuning LLMs
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.
Due to government contract requirements candidates must be a US Citizen or Permanent Resident.
Some publications, experience in algorithm development associated with artificial intelligence and graph theory.

The salary range is: $40-$45+/hr. Salary ranges will vary and are based on several factors, including geographic location, market competitiveness and equity amongst 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, to view details please go to https://www.sri.com/resources/benefits/.

SRI is an independent nonprofit research institute headquartered in Menlo Park, Calif., with a rich history of supporting government and industry. We create and deliver world-changing solutions for a safer, healthier, and more sustainable future. For more than 75 years, we have collaborated across technical and scientific disciplines to discover and develop groundbreaking products and technologies and bring innovations and ideas to the marketplace.