Carnegie Mellon University · 3 days ago
Senior Machine Learning Research Scientist - Secure AI Lab
Carnegie Mellon University is a leading research institution, and they are seeking a Senior Machine Learning Research Scientist for their Secure AI Lab. The role focuses on conducting research into the vulnerabilities of AI and ML algorithms, developing defenses against these vulnerabilities, and collaborating with interdisciplinary teams to create operational capabilities for government customers.
EducationHigher EducationUniversities
Responsibilities
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 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
Benefits
Comprehensive medical, prescription, dental, and vision insurance
Generous retirement savings program with employer contributions
Tuition benefits
Ample paid time off
Observed holidays
Life and accidental death and disability insurance
Free Pittsburgh Regional Transit bus pass
Access to our Family Concierge Team to help navigate childcare needs
Fitness center access
Company
Carnegie Mellon University
Carnegie Mellon University is a private research university that offers degrees in technology, arts, and various other fields.
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
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