Assistant AI Security Software Engineer

Carnegie Mellon University

Quick summary

Work type: On-site
Location: Pittsburgh, PA
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

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Similar $196k

$142k most similar roles pay here $245k

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About Carnegie Mellon University

Carnegie Mellon University is a leading private research university in Pittsburgh, Pennsylvania, internationally recognized for programs in computer science, engineering, business, the arts, and artificial intelligence. Industry: Higher Education & Research

Carnegie Mellon University currently has 48 open roles on FindRole.

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At a glance

TL;DR · Assistant AI Security Software Engineer

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The Assistant AI Security Software Engineer role at the CERT Division of the Software Engineering Institute (SEI) involves collaborating with researchers and stakeholders to develop machine learning-based prototypes, tools, and systems for AI security applications. Day-to-day responsibilities include processing large cybersecurity datasets, applying software engineering best practices, and supporting adversarial machine learning initiatives. The ideal candidate will have a background in computer science or related fields, experience with containerization and microservices architectures, and familiarity with applied machine learning domains such as natural language processing and computer vision. This position offers the opportunity to work on cutting-edge AI security research with elite professionals, contributing to national cybersecurity strategies.

Skills

Python Java C++ TensorFlow PyTorch Keras Scikit-learn Docker Kubernetes AWS Azure Google Cloud Platform CI/CD Git Jupyter Notebook PostgreSQL MongoDB Redis Apache Spark Hadoop

What you'll do

Develop machine learning–based prototypes and tools for AI security applications.
Design and execute experimental AI security solutions with researchers and stakeholders.
Process and analyze large cybersecurity datasets to support research initiatives.
Apply software engineering best practices to build scalable, maintainable systems.
Support AI red teaming and adversarial machine learning initiatives.

What we're looking for

BS in computer science, machine learning, cybersecurity, statistics, or related field.
Experience with software engineering principles and system design.
Proficiency in developing AI/ML solutions for real-world applications.
Understanding of containerization and microservices architectures.
Ability to process and analyze large cybersecurity datasets effectively.

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