Associate Machine Learning Engineer, Secure AI Lab

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Associate Machine Learning Engineer, Secure AI Lab

Carnegie Mellon UniversityPittsburgh, USA / Arlington, USA

Pittsburgh, USA / Arlington, USA

2 months ago

AI safety & policy

Information security

Full-time

Routes to impact

Direct high impact on an important cause

Skill-building & building career capital

Testing your fit for a certain career path

Description

A full-time role at Carnegie Mellon University's Software Engineering Institute for ML engineers who want to apply adversarial machine learning research to national security and defense.

Focus: Work within the Secure AI Lab to research vulnerabilities in AI/ML systems and engineer practical defenses against adversarial attacks
Responsibilities: Build ML models and data pipelines, conduct technical experimentation across computer vision and NLP, and prototype capabilities for government sponsors
Collaboration: Partner with researchers, developers, and government customers; mentor junior team members and contribute to the broader AI Engineering community
Requirements: BS + 3 years, MS + 1 year, or PhD in CS, ML, or related field; must be able to obtain a Department of Defense security clearance; onsite 5 days/week in Pittsburgh, PA or Arlington, VA

Apply directly via the CMU SEI careers page.

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