Applied Research Mathematician Generative AI - Experienced to Expert Level Maryland

National Security Agency

MD

JOB DETAILS
SALARY
$132,751–$197,200 Per Year
SKILLS
Algorithms, Analysis Skills, Artificial Intelligence (AI), Best Practices, C Programming Language, C++ Programming Language, Coding Standards, Communications Protocols, Computer Network Defense (CND), Computer Programming, Computer Science, Computer Software, Cryptography, Data Analysis, Data Collection, Data Modeling, Data Processing, Data Science, Data Sets, Data Structures, Debugging Skills, Debugging Tools, Deep Learning, Documentation, Electrical Engineering, Integrated Circuits (ICs), Intelligence Community, Internet Security, Interpersonal Skills, Java, Leadership, Linear Algebra, Machine Learning, Mathematics, Mentoring, National Security Agency (NSA), Network Architecture/Engineering, Network Security, Office Equipment, Physics, Problem Solving Skills, Procedure Development, Process Analysis, Python Programming/Scripting Language, R Programming Language, Reinforcement Learning, Research Skills, Scientific Principles, Scientific Research, Signal Intelligence (SIGINT), Software Development, Software Engineering, Statistics, Technical Support, Test Program
LOCATION
MD
POSTED
6 days ago

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.Qualified applicants will have a strong technical background in a computational science discipline (e.g., Mathematics, Statistics, Data or Computer Science) and research experience in mathematical analysis of large data sets. Experience in operational areas is a plus.

Exceptional candidates will have experience applying machine learning methods, including but not limited to a subset of deep learning, reinforcement learning, ensemble methods, and large scale graph analytics. Significant programming experience, especially working with large data sets (e.g., Python, Tensorflow, R, Java, C/C++, and/or other data processing frameworks) is preferred.

The ideal candidate is someone with excellent problem-solving, communication, and interpersonal skills, who possesses a range of knowledge and experience with:

  • Applying principles and methods of linear algebra (e.g., vector spaces, matrices, matrix manipulations) to solve complex problems;
  • Applying the mathematical principles, combinatorial methods or elicitation techniques to determine or calculate the likelihood of outcomes;
  • Quantifying the likelihood of an event's occurrence;
  • The scientific principles, methods, and processes used to conduct research studies (e.g., study design, data collection and analysis, and reporting results);
  • Applying data-analytic techniques to analyze, visualize, and summarize sample data from populations;
  • Drawing inferences regarding populations based on results from sample data.
  • Concepts and procedures for applying algorithm design techniques (e.g., data structures, dynamic programming, backtracking, heuristics, and modeling) to design correct, efficient, and implementable algorithms for real-world problems;
  • Debugging and testing software programs;
  • Using best programming practices (e.g., appropriate coding standards, algorithm efficiencies, coding documentation);
  • Using principles, techniques, procedures, and tools that facilitate the development of software applications;
  • Using software and computer languages and skills (e.g., writing code, debugging/testing programs, fixing syntax, correcting logic errors, using abstract data types) to develop programs that meet technical requirementsThe 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.Pay: Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.

Salary Range: $132,751 - $197,200 (Senior, Expert) Salary range varies by location, work level, and relevant experience to the position.

Training will be provided based on the selectee's needs and experience.

Benefits: NSA offers a comprehensive benefits package.

Work Schedule: This is a full-time position, Monday - Friday, with basic 8hr/day work requirement between 6:00 a.m. and 6:00 p.m. (flexible).

DCIPS Trial Period: If selected for this position, you will be required to serve a two-year DCIPS trial period, unless you are a veterans' preference-eligible employee, in which case you are required to serve a one-year trial period. This trial period runs concurrently with your commitment to the position, if applicable. Before finalizing your appointment at the conclusion of your trial period, NSA will determine whether your continued employment advances the public interest. This decision will be based on factors such as your performance and conduct; the Agency's needs and interests; whether your continued employment would advance the Agency's organizational goals; and whether your continued employment would advance the efficiency of the Federal service.

Upon completion of your trial period, your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest.

If you do not receive certification for continued employment, you should receive written notice prior to the end of your trial period that your employment will be terminated and the effective date of such termination.

About the Company

N

National Security Agency

NSA is at the forefront of U.S. government cryptology, integrating signals intelligence (SIGINT) and cybersecurity to enhance national and allied advantages. Our mission encompasses computer network operations aimed at securing critical insights and services, ensuring decisive advantages for the nation and our allies.

NSA's cybersecurity initiatives are pivotal in safeguarding U.S. national security systems, particularly within the Defense Industrial Base and enhancing the security of U.S.  weaponry. We are committed to advancing cybersecurity through education, research, and career development.

 Through foreign signals intelligence (SIGINT), NSA delivers crucial intelligence to U.S. policymakers and military forces. This intelligence, derived from electronic signals and systems used by foreign entities, provides essential insights into the capabilities, actions, and intentions of adversaries worldwide. It supports our efforts to defend the nation, save lives, and advance U.S. objectives and alliances globally.

Visit IntelligenceCareers.gov/NSA to learn about our mission and how you can have a rewarding career that safeguards the country’s future ­– and your own.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Government and Military
FOUNDED
1952
WEBSITE
https://www.intelligencecareers.gov/NSA/