National Security Agency · 4 days ago
Applied Research Mathematician / Machine Learning Security and Generative AI - Experienced to Expert Level (Maryland)
Fort Meade, MD
Full-time
Onsite
Senior Level, Lead/Staff
$133K/yr - $197K/yr
4+ years expThe National Security Agency (NSA) is seeking experienced mathematicians to join their Mathematics Research Group, which focuses on developing innovative techniques for Signals Intelligence and Cybersecurity missions. The role involves conducting mathematical research related to machine learning security and generative AI, contributing to national security efforts through advanced research and collaboration with industry experts.
National Security
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
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
Qualification
Required
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
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
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
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 requirements
Benefits
NSA offers a comprehensive benefits package.
Company
National Security Agency
Defending Our Nation. Securing The Future.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
W. Glenn Hedrick IV
Chief Executive Officer (Battalion Commander) - 707th Military Intelligence Battalion
Ashim S Bajwa
Deputy Chief Operations Officer | Engagement Officer | Cyber Risk Management
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