Senior ML Engineer – Secure AI Lab (Defense)

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

Job summary

Carnegie Mellon University’s SEI Secure AI Lab is seeking a Machine Learning Engineer to advance defenses for AI/ML systems used by government sponsors. You will study vulnerabilities, build robust prototypes, and mentor team members, working with TensorFlow, PyTorch, Torch, and Caffe.

You will collaborate across engineering, research, and sponsor teams, driving transition of capabilities to government customers while maintaining rigorous software engineering practices and secure design

Qualifications

• Bachelor's degree or higher in computer science, statistics, ML, electrical engineering, or related discipline with significant experience.
• Experience with ML security or adversarial ML is desirable but not required.
• Strong written and verbal communication; ability to convey complex ideas clearly.
• Experience publishing technical artifacts and leading technical projects.

Responsibilities

• Build ML models and systems using TensorFlow, PyTorch, Torch, or Caffe and languages like Python, C/C++, and Java.
• Investigate AI/ML vulnerabilities and design defenses for robust, secure systems.
• Experiment with emerging ML methods and evaluate performance and security in relevant environments.
• Collaborate with researchers and government sponsors to translate research into prototypes.
• Mentor junior team members and contribute to technical sessions.

Skills

Machine Learning

Adversarial ML

Python

TensorFlow

PyTorch

C/C++

Java

Data pipelines

Mentoring

Education

Bachelor's degree in CS/EE/ML or related

MS in CS/EE/ML or related

PhD in related field

Tools

TensorFlow

PyTorch

Torch/Caffe

Job description

Carnegie Mellon University’s SEI Secure AI Lab is seeking a Machine Learning Engineer to advance defenses for AI/ML systems used by government sponsors. You will study vulnerabilities, build robust prototypes, and mentor team members, working with TensorFlow, PyTorch, Torch, and Caffe.

You will collaborate across engineering, research, and sponsor teams, driving transition of capabilities to government customers while maintaining rigorous software engineering practices and secure design