Lead ML Security Researcher for Defense AI

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Comprehensive medical, prescription, dental, and vision insurance

Generous retirement savings program

Tuition benefits

Paid time off and holidays

Fitness center access

Free Pittsburgh Regional Transit bus pass

Job summary

A prestigious university in Pittsburgh is seeking a Senior Machine Learning Research Scientist to conduct research on AI and ML algorithm vulnerabilities. This role involves hands-on research, solution development, and strategic collaboration to enhance AI security for government clients. Candidates should have a relevant degree and experience in machine learning, with strong communication and collaboration skills. This full-time position offers competitive benefits and requires on-site work five days a week.

Qualifications

• Experience in adversarial machine learning preferred, but not required.
• Ability to convey complex ideas in layperson's terms.
• Experience with publishing technical artifacts.

Responsibilities

• Conduct and lead novel research in applied machine learning.
• Work with teams to turn research results into operational capabilities.
• Plan and develop an overall research strategy.

Skills

Machine Learning

Artificial Intelligence

Research Skills

Communication

Collaboration

Education

Bachelor's degree in computer science, statistics, machine learning, or related discipline

MS or PhD in relevant fields

Job description

A prestigious university in Pittsburgh is seeking a Senior Machine Learning Research Scientist to conduct research on AI and ML algorithm vulnerabilities. This role involves hands-on research, solution development, and strategic collaboration to enhance AI security for government clients. Candidates should have a relevant degree and experience in machine learning, with strong communication and collaboration skills. This full-time position offers competitive benefits and requires on-site work five days a week.