ML Engineer: Build Secure AI for Defense

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Retirement savings program with match

Tuition benefits

Job summary

Carnegie Mellon University’s SEI Secure AI Lab in Pittsburgh invites applications for a Machine Learning Engineer. You will build ML models, explore AI vulnerabilities, and translate research into practical prototypes for government sponsors, using TensorFlow, PyTorch, Python, C/C++, and Java.

You will join a team of researchers, engineers, and developers focused on counter AI and AI defense. Qualifications include a PhD/MS/BS with years of experience, strong communication, collaboration,

Qualifications

• Comprehensive knowledge of machine learning with focus on security and robustness.
• Track record of translating research into prototypes or capabilities.
• Strong written and verbal communication; able to publish artifacts.

Responsibilities

• Building ML models and systems using ML frameworks and modern languages.
• Technical experimentation with evolving ML frameworks and algorithms.
• Testing and evaluating capabilities in relevant environments.
• Collaborating with researchers and government sponsors to address challenges.
• Mentoring junior team members and sharing insights across the division.

Skills

Machine learning knowledge

Adversarial ML (desirable)

Engineering practices

Project leadership

Communication skills

Collaboration

Education

Bachelor's degree in CS/EE/Statistics/ML

MS in relevant field

PhD in relevant field

Tools

TensorFlow

PyTorch

Torch

Caffe

Python

C/C++

Java

Job description

Carnegie Mellon University’s SEI Secure AI Lab in Pittsburgh invites applications for a Machine Learning Engineer. You will build ML models, explore AI vulnerabilities, and translate research into practical prototypes for government sponsors, using TensorFlow, PyTorch, Python, C/C++, and Java.

You will join a team of researchers, engineers, and developers focused on counter AI and AI defense. Qualifications include a PhD/MS/BS with years of experience, strong communication, collaboration,