Computer Systems Researcher (AI/Machine Learning Research) - Mid to Experienced Level (Maryland)

Summary

NSA is in search of Computer Science professionals to solve complex problems, test innovative approaches and research new solutions to storing, manipulating, and presenting information. We are looking for you to apply your computer science expertise to projects that seek to create new standards for the transformation of information. If you want to develop technologies and tools and be a part of cutting edge innovations; join our team of experts! Help protect national security interests.

Learn more about this agency

This job is open to

The public

U.S. Citizens, Nationals or those who owe allegiance to the U.S.

Federal employees - Excepted service

Current federal employees whose agencies have their own hiring rules, pay scales and evaluation criteria.

Veterans

Veterans of the U.S. Armed Forces or a spouse, widow, widower or parent of a veteran, who may be eligible for derived preference

Military spouses

Military spouses of active duty service members or whose spouse is 100 percent disabled or died on active duty.

Duties

NSA Research Scientists are actively expanding the boundaries of what can be accomplished with artificial intelligence, machine learning, human-machine teaming, software reverse engineering, data science, novel architectures, cyber security, high performance computing, and computational linguistics. Our experts generalize mission problems, advance the scientific state-of-the-art to solve problems, and work with other NSA organizations to get solutions in front of mission users and decision-makers.

Our researchers also have the opportunity to collaborate regularly with the scientific community, academia, industry, and other government laboratories; publish papers on unclassified aspects of our work in scientific journals and at conferences; transfer NSA technology to the marketplace through open source software releases and public-private partnerships; serve as faculty members at local universities; and participate in university and K-12 STEM outreach activities across the country.

The ideal candidate must be able to demonstrate sound judgement, strong technical skills and the ability to work effectively in a dynamic team environment, as well as independently. Excellent oral and written communication skills, and a proven track record of analyzing and solving technical problems with innovative solutions are also preferred. The candidate should have demonstrated success in conducting Computer Science research to include turning research ideas into running prototype-grade systems.

As a Computer Systems Researcher, other responsibilities may include

• Conducting scientific experiments, documenting results, and communicating with colleagues, customers, and decision makers
• Training, testing, and deploying machine learning models
• Applying software engineering principles to design and/or develop software applications
• Designing and optimizing algorithms, data structures, modeling, and analytics to solve real-world scientific problems
• Using principles, techniques, procedures, and tools to architect and facilitate the development of hardware solutions
• Developing methods and applications for tools to exploit and analyze computer systems and network vulnerabilities
• Modeling, simulating, prototyping, and/or benchmarking high performance computing systems.
• Developing and implementing approaches to increase the productivity and/or efficiency of high performance computers
• Investigating and validating the security properties claimed by confidential computing mechanisms and architectures
• Advancing the understanding and capabilities for flexible, layered integrity measurement and attestation architectures and mechanisms
• Research, design, and prototype novel approaches to operating system, hypervisor, or firmware security
• Applying machine learning models to perform enhanced monitoring and anomaly detection on embedded systems' network communications to include IoT devices using Bluetooth and other wireless IoT protocols
• Transitioning state-of-the-art AI/ML research from proofs-of-concept to production-grade systems capable of processing exascale multimodal data streams
• Developing "efficient AI" techniques, including quantization, pruning, and distillation, to deploy sophisticated models in resource-constrained or highly secure environments, i.e., edge
• Researching methods for AI safety, robustness against adversarial attacks, and formal verification of neural network behaviors in critical mission security contexts

Requirements

Conditions of employment

• All applicants and employees are subject to random drug testing in accordance with Executive Order 12564.

Qualifications

The qualifications listed are the minimum acceptable to be considered for the position.

Relevant experience must be in one or more of the following: computer systems research, simulation/model development and prototyping, software design, programming, computational science, algorithm analysis and design, reverse engineering, designing/developing computer or information systems, including engineering hardware or software, machine learning, artificial intelligence, visualization, human-computer interaction, data science, or high performance computing.

FULL PERFORMANCE

Entry is with 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. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.

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. An Associate's degree plus 8 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the