Carnegie Mellon University
Associate Machine Learning Engineer - Secure AI Lab
Pittsburgh, Pennsylvania, USA · Part-time
No sponsorshipDetected 54 days ago
PythonC++AlgorithmsMachine LearningTensorFlowPyTorchData EngineeringNLPComputer VisionStatisticsA/B TestingCybersecurityElectrical EngineeringResearchCommunicationCollaborationMentoring
About the role
- The Secure AI Lab within the SEI's AI Division focuses on improving the security and robustness of AI systems.
- Your day-to-day engineering tasks will include: Identifying and investigating emerging AI and AI-adjacent technologies.
Responsibilities
- Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems.
- You will build and work with data pipelines, ETL processes, and backend systems.
- You'll contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI.
- You'll actively participate on teams of developers, researchers, designers, and technical leads.
- You'll collaborate with researchers and our government customers to understand challenges, needs, and possible solutions.
Requirements
- You will be subject to a background investigation and must be able to obtain and maintain an active Department of War security clearance.
Skills
- Your day-to-day engineering tasks will include:
- Identifying and investigating emerging AI and AI-adjacent technologies.
- Defining and refining processes, practices, and tools for working with AI.
- Designing and building well-engineered prototypes of AI systems.
- Transitioning and providing guidance onAI capabilities to government sponsors.
Equal opportunity
- Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
Visa & Work Authorization
- Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences.
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