Senior ML Engineer: Build Secure AI for Defense

Software Engineering Institute | Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 120,000 - 190,000; Full time

Job summary

The Software Engineering Institute | Carnegie Mellon University in Pittsburgh, PA is seeking a Machine Learning Engineer to specialize in securing AI/ML systems and evaluating adversarial threats. You will work with real-world government sponsors to design robust AI capabilities and transition them into practical prototypes.

Responsibilities include building ML models, conducting rapid experimentation, and mentoring teammates while collaborating across the SEI division.

Qualifications

• Bachelor’s degree in CS/ML/EE with ten years’ experience; or MS with eight; or PhD with five.
• Must be able to obtain and maintain an active security clearance.
• Onsite work in Pittsburgh, PA or Arlington, VA; travel up to 25%.

Responsibilities

• Build ML models and systems with ML frameworks and modern languages.
• Experiment with contemporary ML methods across domains like CV/NLP.
• Test and evaluate technologies; ensure performance and security.
• Collaborate with researchers, developers, and sponsors on challenges.
• Mentor junior team members and contribute to design discussions.

Skills

Machine learning

Adversarial ML

Python

C/C++

Java

Research collaboration

Education

Bachelor's degree

MS degree

PhD

Tools

TensorFlow

PyTorch

Torch

Caffe

Job description

The Software Engineering Institute | Carnegie Mellon University in Pittsburgh, PA is seeking a Machine Learning Engineer to specialize in securing AI/ML systems and evaluating adversarial threats. You will work with real-world government sponsors to design robust AI capabilities and transition them into practical prototypes.

Responsibilities include building ML models, conducting rapid experimentation, and mentoring teammates while collaborating across the SEI division.