Senior Machine Learning Engineer - Secure AI Lab
Carnegie Mellon University
At a glance
AI generatedAs a Senior Machine Learning Research Scientist at the SEI AI Division’s Secure AI Lab, you will join a world-class team focused on enhancing the security and robustness of AI systems against adversarial threats. Your daily tasks will involve identifying emerging technologies, conducting impactful research, adapting existing work to solve real-world problems, and guiding government sponsors in adopting new capabilities. You’ll collaborate with interdisciplinary teams including software developers and researchers to develop practical defenses for AI vulnerabilities, publish findings, and mentor junior team members. The role requires expertise in machine learning, a track record of scientific research, and strong communication skills to convey complex ideas clearly. Proficiency in Python or similar languages is essential, along with experience leading novel projects and writing funding proposals. This position demands a commitment to on-site work at SEI facilities and occasional travel for conferences and sponsor sites.
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Market check
This listing doesn't show a salary. Similar roles on FindRole typically pay $161,700–$242,500.
Peer median band
$161,700–$242,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$166,670–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
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 36 open roles on FindRole.
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