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Associate Machine Learning Engineer, Secure AI Lab
Associate Machine Learning Engineer, Secure AI Lab
Carnegie Mellon UniversityPittsburgh, PA, Arlington, VA
Today
AI safety & policy
Information security
Full-time
Today
Routes to impact
Skill-building & building career capital
Direct high impact on an important cause
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
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effectivealtruism.org is made by the Centre for Effective Altruism, which is an Effective Ventures project. Effective Ventures Foundation (UK) (EV UK) is a charity in England and Wales (with registered charity number 1149828, registered company number 07962181, and is also a Netherlands registered tax-deductible entity ANBI 825776867). Effective Ventures Foundation USA Inc. (EV US) is a section 501(c)(3) organization in the USA (EIN 47-1988398). EV UK and EV US are separate charities that collaborate closely under the “Effective Ventures” name. All content © Centre for Effective Altruism or its respective authors, unless otherwise noted. For enquiries and feedback contact us.
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effectivealtruism.org is made by the Centre for Effective Altruism, which is an Effective Ventures project. Effective Ventures Foundation (UK) (EV UK) is a charity in England and Wales (with registered charity number 1149828, registered company number 07962181, and is also a Netherlands registered tax-deductible entity ANBI 825776867). Effective Ventures Foundation USA Inc. (EV US) is a section 501(c)(3) organization in the USA (EIN 47-1988398). EV UK and EV US are separate charities that collaborate closely under the “Effective Ventures” name. All content © Centre for Effective Altruism or its respective authors, unless otherwise noted. For enquiries and feedback contact us.
© 2026 Effective Ventures