Senior AI Security Engineer (Adversarial ML)

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Tuition benefits

Bus pass (Pittsburgh Regional Transit)

Fitness center access

Life and disability insurance

Job summary

Carnegie Mellon University’s SEI AI Division seeks a Machine Learning Engineer to advance research on vulnerabilities in AI/ML systems and protect AI capabilities for government sponsors. You will join a team of ML engineers, researchers, and software developers working on adversarial ML, AI defense, and applied AI security.

You will design, implement, and evaluate robust AI solutions, collaborate with cross‑functional teams, and mentor peers while contributing to a secure, trusted AI ecosystem

Qualifications

• Bachelor’s degree in CS, statistics, ML, EE or related discipline with 10 years experience; OR MS with 8 years; OR PhD with 5 years.
• Background investigation and ability to obtain/maintain active DoD security clearance.
• Willing to work onsite at Pittsburgh, PA or Arlington, VA 5 days/week; travel up to 25%.

Responsibilities

• Build ML models and systems using frameworks such as TensorFlow, PyTorch, Torch, and Caffe.
• Develop data pipelines, ETL processes, and backend systems.
• Experiment with ML frameworks and algorithms across CV, NLP, planning, scheduling, robotics.
• Collaborate with researchers and government sponsors to understand challenges and solutions.
• Mentor junior team members and contribute to SEI engineering culture.

Skills

Machine learning

Communication

Collaboration

Mentoring

Education

Bachelor degree + 10 years

MS + 8 years

PhD + 5 years

Tools

TensorFlow

PyTorch

Torch

Caffe

Python

C/C++

Java

Job description

Carnegie Mellon University’s SEI AI Division seeks a Machine Learning Engineer to advance research on vulnerabilities in AI/ML systems and protect AI capabilities for government sponsors. You will join a team of ML engineers, researchers, and software developers working on adversarial ML, AI defense, and applied AI security.

You will design, implement, and evaluate robust AI solutions, collaborate with cross‑functional teams, and mentor peers while contributing to a secure, trusted AI ecosystem