National Security Agency · 1 day ago
AI Engineer - Entry to Expert Level (Maryland)
Fort Meade, MD
Full-time
Onsite
Entry, Mid, Senior Level, Lead/Staff
$87K/yr - $197K/yr
2+ years expThe National Security Agency (NSA) is seeking AI Engineers to work on the challenges of building, deploying, and maintaining AI systems at scale. The role involves leading cross-functional teams to develop AI solutions and adapting various AI model architectures to meet mission-critical needs.
National DefenseNational Security
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Lead or contribute to cross-functional teams to develop and operationalize AI solutions that help solve our most challenging problems
Apply modern engineering techniques to design, develop, deploy, and maintain end-to-end AI workflows spanning model training, inference, and performance monitoring
Adapt and integrate diverse AI model architectures including computer vision systems, natural language processors, audio processors, large language models (LLMs), and multi-modal frameworks to address complex mission-critical challenges
Monitor and maintain AI products through systematic identification of performance degradation and computational inefficiency and address these challenges through regular retuning and fine-tuning to ensure continued alignment with evolving mission needs and organizational goals
Maintain knowledge of current AI research and adapt emerging techniques to intelligence applications
Test and evaluate AI solutions against mission requirements and produce actionable recommendations
Qualification
Required
Applicants will be asked to complete the Data Science Examination (DSE) which evaluates their knowledge of statistics, mathematics, and computer science topics that pertain to data science work
Transcripts for each academic institution are required prior to being invited to interview with Agency data science professionals and should be submitted as part of the online application
For all of the Engineering degrees, if program is not ABET accredited, it must include specified coursework
Specified coursework includes courses in differential and integral calculus and 5 of the following 18 areas: (a) statics or dynamics, (b) strength of materials/stress-strain relationships, (c) fluid mechanics, hydraulics, (d) thermodynamics, (e) electromagnetic fields, (f) nature and properties of materials/relating particle and aggregate structure to properties, (g) solid state electronics, (h) microprocessor applications, (i), computer systems, (j) signal processing, (k) digital design, (l) systems and control theory, (m) circuits or generalized circuits, (n) communication systems, (o) power systems, (p) computer networks, (q) software development, (r) Any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, or soil mechanics
For degrees in Computer Science or Engineering, entry is with an Associate's degree plus 2 years of relevant experience, or a Bachelor's degree and no experience, or a Master's degree and no experience
For degrees in Information Systems, Information Technology, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Operations Research, Artificial Intelligence, Data Science, or Physical or Biological Sciences, entry is with an Associate's degree plus 3 years of relevant experience, or a Bachelor's degree and 1 year of relevant experience
Relevant experience must be in one or more of the following: implementing production scale AI/ML (Artificial Intelligence / Machine Learning) solutions, distributed model training, distributed AI/ML systems, AI/ML performance monitoring, platform engineering, cloud engineering, developing deep learning models, neural networks, sustaining/maintaining AI/ML models, implementing AI/ML algorithms, AI/ML model development and deployment, DevOps, MLOps, cloud infrastructure management, software engineering, automated testing, or containerization
For degrees in Computer Science or Engineering, entry is with an Associate's degree plus 5 years of relevant experience, or a Bachelor's degree plus 3 years of relevant experience, or a Master's degree plus 1 year of relevant experience, or a Doctoral degree and no experience
For degrees in Information Systems, Information Technology, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Operations Research, Artificial Intelligence, Data Science, or Physical or Biological Sciences, entry is with an Associate's degree plus 5 years of relevant experience, or a Bachelor's degree plus 3 years of relevant experience, or a Master's degree plus 1 year of relevant experience, or a Doctoral degree and 1 year of relevant experience
Relevant experience must be in one or more of the following: implementing production scale AI/ML solutions, distributed model training, distributed AI/ML systems, AI/ML performance monitoring, platform engineering, cloud engineering, developing deep learning models, sustaining/maintaining AI/ML models, implementing AI/ML algorithms, AI/ML model development and deployment, DevOps, MLOps, cloud infrastructure management, software engineering, automated testing, or containerization
For degrees in Computer Science, Engineering, Information Systems, Information Technology, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Operations Research, Artificial Intelligence, Data Science, or Physical or Biological Sciences, entry is with an Associate's degree plus 8 years of relevant experience, or 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
Relevant experience must be in two or more of the following: implementing production scale AI/ML solutions, distributed model training, distributed AI/ML systems, AI/ML performance monitoring, platform engineering, cloud engineering, developing deep learning models, sustaining/maintaining AI/ML models, implementing AI/ML algorithms, AI/ML model development and deployment, DevOps, MLOps, cloud infrastructure management, software engineering, automated testing, or containerization
For degrees in Computer Science, Engineering, Information Systems, Information Technology, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Operations Research, Artificial Intelligence, Data Science, or Physical or Biological Sciences, entry is with an Associate's degree plus 11 years of relevant experience, or 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 relevant experience
Relevant experience must be in three or more of the following: implementing production scale AI/ML solutions, distributed model training, distributed AI/ML systems, AI/ML performance monitoring, platform engineering, cloud engineering, developing deep learning models, sustaining/maintaining AI/ML models, implementing AI/ML algorithms, AI/ML model development and deployment, DevOps, MLOps, cloud infrastructure management, software engineering, automated testing, or containerization
Additionally, you must have experience in serving as an AI Project Team Leader/model owner
U.S. Citizenship is required for all applicants
All applicants and employees are subject to random drug testing in accordance with Executive Order 12564
Employment is contingent upon successful completion of a security background investigation and polygraph
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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