Secure AI Engineer — Defense ML & Adversarial

Software Engineering Institute | Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 120,000 - 180,000; Full time

Job summary

The Software Engineering Institute | Carnegie Mellon University in Pittsburgh, PA, is seeking a Machine Learning Engineer for the Secure AI Lab. You will develop and secure AI/ML solutions for government sponsors, focusing on vulnerabilities and defenses of AI systems.

You will work with TensorFlow, PyTorch, Torch, and Caffe, building real-world prototypes, conducting rapid experimentation, and mentoring team members within a collaborative, mission-driven environment.

Qualifications

• Deep knowledge of ML fundamentals and security considerations.
• Experience turning research results into functioning prototypes.
• Strong ability to communicate complex ideas clearly.

Responsibilities

• Build ML models and systems using TensorFlow, PyTorch, Torch, or Caffe.
• Design and implement data pipelines and backend services.
• Conduct rapid prototyping and evaluate performance and security.
• Collaborate with researchers and government sponsors.
• Mentor junior team members and share insights across the SEI.

Skills

Machine Learning

Adversarial ML

Research-to-Prototype

Education

Bachelor’s degree in CS/Math/EE

MS in related field

PhD in related field

Tools

TensorFlow

PyTorch

Torch

Caffe

Python

C/C++

Java

Job description

The Software Engineering Institute | Carnegie Mellon University in Pittsburgh, PA, is seeking a Machine Learning Engineer for the Secure AI Lab. You will develop and secure AI/ML solutions for government sponsors, focusing on vulnerabilities and defenses of AI systems.

You will work with TensorFlow, PyTorch, Torch, and Caffe, building real-world prototypes, conducting rapid experimentation, and mentoring team members within a collaborative, mission-driven environment.