Machine Learning Engineer - Secure AI Lab

Overview

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we 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; and identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape.

• As a Machine Learning Engineer, specialize in engineering solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities.
• Reside in the Secure AI Lab within the SEI’s AI Division, focusing on improving the security and robustness of AI systems. Conduct and apply 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.
• Work with a team of machine learning research scientists, machine learning engineers, and software developers to solve problems in counter AI research, AI and ML algorithm defense, and applied adversarial machine learning.
• Solve problems for government sponsors by analyzing, designing, and building responsible AI systems.
• Engage in day-to-day engineering activities, including identifying and investigating emerging AI technologies, defining and refining processes for working with AI, designing and building well-engineered prototypes, and transitioning AI capabilities to government sponsors.
• Collaborate with researchers, developers, and government customers to understand challenges, needs, and possible solutions; mentor and share knowledge across the division.

• Comprehensive knowledge of machine learning; previous experience in adversarial machine learning desirable but not required.
• Track record of using established engineering practices to solve difficult problems; ability to convert research results into functioning prototypes or capabilities.
• Experience leading technical projects in novel areas with limited prior work to build upon.
• Strong written and verbal communication skills; ability to convey complex technical ideas in layperson terms.
• Experience 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.

• A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with eight (8) years of experience; OR MS in the same fields with one (1) year of experience; OR PhD in a relevant discipline with two (2) years of experience.
• Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA.
• You will be subject to a background investigation and must 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.

Arlington, VA, Pittsburgh, PA

• Job Function:
  Software/Applications Development/Engineering
• Position Type:
  Staff – Regular
• Full time
• Pay Basis:
  Salary

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance