Secure AI Engineer for Defense ML Systems

Software Engineering Institute | Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 90,000 - 130,000; Full time

Job summary

A prestigious research institution seeks a Machine Learning Engineer to support research into AI vulnerabilities and design solutions. Candidates should have a bachelor’s in a related field and experience with machine learning frameworks like TensorFlow and Python. This role involves building models, conducting evaluations, and collaborating with teams to advance AI technologies. The position requires onsite work and is based in Pittsburgh, PA, or Arlington, VA.

Qualifications

• Strong knowledge of machine learning; experience in adversarial machine learning is a plus.
• Ability to convert research into functioning prototypes.
• Strong collaboration and mentoring skills.

Responsibilities

• Build machine learning models and collaborate with teams.
• Experiment with emerging ML frameworks.
• Evaluate systems for performance and security.

Skills

Machine learning frameworks

Python

C/C++

Java

Data pipelines

Education

Bachelor’s degree in computer science, statistics, machine learning, or related field

Tools

TensorFlow

PyTorch

Job description

A prestigious research institution seeks a Machine Learning Engineer to support research into AI vulnerabilities and design solutions. Candidates should have a bachelor’s in a related field and experience with machine learning frameworks like TensorFlow and Python. This role involves building models, conducting evaluations, and collaborating with teams to advance AI technologies. The position requires onsite work and is based in Pittsburgh, PA, or Arlington, VA.