Senior Adversarial ML Research Scientist

Carnegie Mellon University; Arlington (VA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical insurance

Tuition benefits

Paid time off

Retirement plan

Bus pass

Family Concierge

Job summary

Carnegie Mellon University’s SEI AI Division in Arlington, VA is seeking a Senior Machine Learning Research Scientist to advance research on vulnerabilities in AI/ML systems and develop defenses. You will work with government sponsors to translate cutting-edge research into practical, secure AI capabilities.

You will lead interdisciplinary teams, publish research, mentor junior staff, and help shape the division's strategy for advancing trustworthy AI for national security.

Qualifications

• Strong foundation in machine learning and AI.
• Experience applying scientific methods to solve difficult problems.
• Ability to lead research projects and teams.
• Excellent written and verbal communication; ability to convey complex ideas.

Responsibilities

• Identify emerging AI/AI-adjacent technologies.
• Publish impactful original research on AI/ML vulnerabilities.
• Apply existing research to real-world problems for government sponsors.
• Mentor junior team members and contribute to division strategy.

Skills

Machine learning knowledge

Adversarial machine learning

Research leadership

Communication skills

Proposal writing

Mentoring

Education

PhD in CS/EE/ML related field

MS in CS/EE/ML related field

Bachelor's degree in CS/Statistics/ML/EE

Job description

Carnegie Mellon University’s SEI AI Division in Arlington, VA is seeking a Senior Machine Learning Research Scientist to advance research on vulnerabilities in AI/ML systems and develop defenses. You will work with government sponsors to translate cutting-edge research into practical, secure AI capabilities.

You will lead interdisciplinary teams, publish research, mentor junior staff, and help shape the division's strategy for advancing trustworthy AI for national security.