Senior Machine Learning Research Scientist - Secure AI Lab

Carnegie Mellon University · Pittsburgh, PA · 5 mo ago

EngineeringFull-time

Overview

As a Senior Machine Learning Research Scientist, you will specialize in conducting research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities. The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, the Secure AI Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn’t supposed to.

Duties

Hands-on research: Conduct and lead novel research in applied machine learning and artificial intelligence.
Solution development: Work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.
Strategy: 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.
Collaboration: 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.
Mentoring: 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.

Requirements

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.
Ability to obtain and maintain an active Department of War security clearance.
Willingness to travel up to 25% of the time to locations outside of your home location.

Knowledge and Experience

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.
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.

Benefits