Applied Research Mathematician / Machine Learning Security and Generative AI

Full Job Description

NSA's Mathematics Research Group conducts world-class mathematical research with the objective of developing new and innovative techniques and technologies to support our Signals Intelligence and Cybersecurity missions, as well as the broader Intelligence Community (IC).

We are actively seeking mathematicians to join our Mathematics Research Group.

For more information, please visit: https://apply.intelligencecareers.gov/job-description/1254111 The qualifications listed are the minimum acceptable to be considered for the position.

Degree must be in Mathematics, Physics, Engineering, Data Science, Computer Science, Statistics, or a related STEM field.

Degree must include at least 24 semester credit hours (or 36 credit hours from universities on a quarter system) in advanced mathematics courses.

Relevant experience must be in one or more of the following: the design, development, use, and evaluation of mathematics models, methods, or techniques (for example, algorithm development) to study issues and solve problems.

Experience may also include, network engineering, computer science, physics, software engineering, electrical engineering. Leadership experience can count for up to half the experience requirement.

SENIOR Entry is with a Bachelor's degree plus 6 years of relevant experience, or a Master's degree plus 4 years of relevant experience, or a Doctoral degree plus 2 years of relevant experience.

EXPERT Entry is with a Bachelor's degree plus 9 years of relevant experience, or a Master's degree plus 7 years of relevant experience, or a Doctoral degree plus 5 years of experience.

Major Duties:

NSA's Mathematics Research Group conducts world-class mathematical research with the objective of developing new and innovative techniques and technologies to support our Signals Intelligence and Cybersecurity missions, as well as the broader Intelligence Community (IC).

We are actively seeking mathematicians well-versed in the mathematical and statistical underpinnings of generative AI to join our Statistics and Machine Learning Research Office.

The office focuses on fundamental mathematics research in the applications of machine learning and statistical analysis, as well as a wide range of other technical areas to include cryptography, machine learning security, generative AI, network defense, and graph algorithms.

Responsibilities may include: - Analyze problems and determine procedures required to solve technical problems; - Create computer algorithms, data models, and protocols; - Identify new applications of known techniques; - Analyze data, algorithms, and communication protocols using mathematical/statistical methods; - Develop and apply mathematical or computational methods and lines of reasoning; - Design, develop and debug software solutions; - Create and maintain documentation on research processes, analyses and/or the results; - Write logical and accurate technical reports to communicate ideas; - Effectively instruct, mentor, and support the professional development of colleagues in the areas of technical expertise.