Carnegie Mellon University · 4 days ago
Senior Machine Learning Research Scientist - SAIL
Pittsburgh, PA
Full-time
Onsite
Senior Level
5+ years expCarnegie Mellon University is a leading research institution focused on advancing artificial intelligence and machine learning. They are seeking a Senior Machine Learning Research Scientist to conduct research on AI vulnerabilities and develop strategies to secure AI systems against adversaries.
EducationHigher EducationUniversities
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
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
Conduct and lead novel research in applied machine learning and artificial intelligence
Work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders
Work with the leadership team and colleagues to plan, develop, and carry out an overall research strategy, and to influence the national research agenda regarding future technology
Actively participate on teams of software developers, researchers, designers, and technical leads
Build relationships and collaborate with researchers, government customers, and other stakeholders to understand challenges, needs, possible solutions, and research directions
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 AI Division
Qualification
Required
A bachelor's degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in with five (5) years of experience
Willingness to work onsite at an SEI facility 5 days per week
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. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences
Comprehensive knowledge of machine learning; previous experience in adversarial machine learning preferred but not required
A track record of conducting research and applying scientific methods to solve difficult problems
Experience leading research projects in novel areas with limited previous work to build upon
Ability to work with leadership to plan, develop, and deliver an overall research strategy
Strong written and verbal communication skills; ability to convey complex technical ideas in a layperson's terms
Proficiency in writing funding proposals or pitching ideas for new research projects
Ample experience with publishing written or technical artifacts showcasing your work
Strong collaboration skills for working with colleagues and sponsors
Willingness to guide and mentor junior team members
Preferred
Previous experience in adversarial machine learning
Company
Carnegie Mellon University
Carnegie Mellon University is a private research university that offers degrees in technology, arts, and various other fields.
5001-10000 employees
Funding
Current Stage
Late StageTotal Funding
$488.58MKey Investors
ICANNAppalachian Regional CommissioneBPF Foundation
2025-05-29Grant· $0.45M
2024-09-05Grant· $0.5M
2024-08-29Grant· $0.05M
Leadership Team
Angela Blanton
Vice President and Chief Financial Officer
Amy Coutu
Assistant Vice President, Enterprise Applications
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