SEI AI Division
AI Engineering for Defense and National Security
AssociateMachineLearningEngineer
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“Associate Machine Learning Engineer at SEI AI Division. Skills: Machine Learning, AI Engineering, Python, TensorFlow. Build real-world, mission-scale AI capabilities. Solve practical engineering problems”
Industry & Context.
Solving practical engineering problems; Solve problems for government sponsors
Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA., Subject to a background investigation and must be able to obtain and maintain an active Department of War security clearance., Willing to travel up to 25% of the time to locations outside of your home location.
What They're Looking For.
Must Have
Bachelor's degree in computer science, statistics, machine learning, electrical engineering, or related discipline with three (3) years of OR MS in the same fields with one (1) year of OR PhD in a relevant discipline., Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA., Subject to a background investigation and must be able to obtain and maintain an active Department of War security clearance., Willing to travel up to 25% of the time.
Nice to Have
Previous experience in adversarial machine learning desirable but not required, A track record of using well-established engineering practices to solve difficult problems, An understanding of how to convert research results into functioning prototypes or capabilities, Experience leading technical projects in novel areas with limited previous work to build upon, Ample experience with publishing written or technical artifacts showcasing your work, Willingness to guide and mentor junior team members
What You'll Do.
mission-scale AI capabilities
Solve practical engineering problems
Discover and define processes
Support operationalizing AI
Prepare customers for AI adoption challenges
Identify and investigate emerging AI technologies
Define and refine processes
Design and build AI systems prototypes
Transition AI capabilities to government sponsors
Build Machine Learning Models and Systems
Experiment with machine learning frameworks
Experiment with machine learning methods
Experiment with machine learning algorithms
Conduct rapid prototyping
Evaluate systems for performance and security
Test capabilities using novel techniques
How You'll Work.
Team & Collaboration
Actively participate on teams of developers, researchers, designers, and technical leads.; Collaborate with researchers and government customers.; Collaboration skills for working with colleagues and sponsors.
Communication Scope
Written and verbal communication; Convey complex technical ideas in a layperson’s terms
Full Job Description
At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we * build real-world, mission-scale AI capabilities through solving practical engineering problems * discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities * prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities * identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. **Overview:** As an Associate Machine Learning Engineer, you will specialize in engineering solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities. The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, the Secure AI Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn’t supposed to. The Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas: * **Counter AI Research:** Study threat models targeting AI and ML algorithms, unde
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