Carnegie Mellon University
AI
SeniorMachineLearningEngineerSecureAILab
“Senior Machine Learning Engineer - Secure AI Lab at Carnegie Mellon University. Skills: Machine Learning, AI Systems, Security, Research. Identify emerging technologies. Refine processes, practices, and tools”
What You'll Achieve.
build real-world, mission-scale AI capabilities; discover and define the processes, practices, and tools to support operationalizing AI; 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; improve the security and robustness of AI systems; protect AI systems from adversaries; advance the state of the art in adversarial machine learning; develop and transition capabilities to government sponsors; analyze, design, and build responsible AI systems
Industry & Context.
solving practical engineering problems; solve problems
Department of War security clearance, Travel up to 25%, Work onsite 5 days per week
What They're Looking For.
Must Have
Bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of OR MS in the same fields with eight (8) years of OR PhD with five (5) years of experience, Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA, 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
What You'll Do.
Identify emerging technologies
Design and build AI systems
Transition AI capabilities
Build Machine Learning Models
Work with data pipelines
Implement machine learning methods
Experiment with machine learning frameworks
Conduct rapid prototyping
Collaborate with researchers
Mentor junior team members
How You'll Work.
Team & Collaboration
Actively participate on teams of developers, researchers, designers, and technical leads; Collaborate with researchers and our government customers to understand challenges, needs, and possible solutions; Collaboration skills for working with colleagues and sponsors
Communication Scope
written and verbal communication; convey complex technical ideas in a layperson’s terms
Process & Methodology
Experience leading technical projects
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