Senior AI Engineer

Carnegie Mellon University - Pittsburgh, PA

Part-time,Full-time - Mid Level

Pittsburgh, PA

Educational Services

About the position

The Artificial Intelligence Engineer position at SEI involves utilizing advanced statistics, data analytics, machine learning, and artificial intelligence to address cyber security challenges for government and industry clients. The role includes collaborating with customers to identify problems, developing prototype solutions, and building final products. The engineer will co-author research proposals, execute studies, and present findings, contributing to significant projects in the field of cyber security.

Responsibilities

• Identify areas where advanced statistical techniques can help tackle cyber security problems.
• Plan and develop prototype solutions for cyber security challenges.
• Build final products based on developed prototypes.
• Co-author research proposals and execute studies related to cyber security.
• Present findings to DoD sponsors and at academic conferences.
• Work on experimental designs for large-scale cyber security research programs.
• Research human-in-the-loop machine learning and build classifiers to identify security vulnerabilities in code.
• Engage in projects involving generative AI, large language models, and data visualization.

Requirements

• BS in computer science, machine learning, data science, statistics, or related highly-quantitative discipline with ten (10) years of experience; or MS with eight (8) years; or PhD with five (5) years of experience.
• Deep understanding of statistical modeling techniques and advanced data analytics.
• Proficient with at least one mathematical/statistical programming package (e.g., R, Python, MATLAB).
• Innovative and inquisitive with the ability to imagine novel analytical solutions to problems.
• Expertise in machine learning techniques, data visualization, natural language processing, AI engineering, or digital forgery.

Nice-to-haves

• Experience in predictive modeling, data science, or machine learning.
• Experience applying software engineering techniques in solution development.
• Experience in cybersecurity is a plus.
• Knowledge of generative AI and large language models would be beneficial but not required.
• Experience supporting test and evaluation for large-scale government research programs is a plus.

Benefits

• Comprehensive medical, prescription, dental, and vision insurance.
• Generous employer contribution to retirement savings program.
• Tuition benefits for further education.
• Ample paid time off and observed holidays.
• Life and accidental death and disability insurance.
• Free Pittsburgh Regional Transit bus pass.
• Access to fitness center and Family Concierge Team for childcare needs.