The Effective Altruism
Opportunities Board
Work on the world's most pressing problems. Browse jobs, fellowships, internships, courses, and more at high-impact organisations.
Associate Machine Learning Engineer, Secure AI Lab
Carnegie Mellon UniversityPittsburgh, USA / Arlington, USA
2 weeks ago
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.
This text was generated by AI. If you notice any inconsistencies, please let us know using this form
Related opportunities
Machine Learning Engineer, Secure AI Lab
Carnegie Mellon UniversityPittsburgh, USA / Arlington, USA
2 weeks ago
Join 60k subscribers and sign up for the EA Newsletter, a monthly email with the latest ideas and opportunities