Senior Machine Learning Research Scientist - Secure AI Lab
Carnegie Mellon University
At a glance
AI generatedAs a Senior Machine Learning Engineer at the SEI AI Division’s Secure AI Lab in Pittsburgh or Arlington, 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, refining processes for working with AI, designing prototypes, and transitioning capabilities to government sponsors. You will leverage machine learning frameworks like TensorFlow and PyTorch, along with Python, C/C++, and Java, to build data pipelines and backend systems while experimenting with cutting-edge methods in areas such as computer vision and natural language processing. Additionally, you will conduct testing and evaluation of AI systems for performance and security, collaborate closely with researchers and sponsors, and mentor junior team members. This role requires a strong background in machine learning, experience converting research into prototypes, and the ability to communicate complex technical ideas effectively.
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What you'll do
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Market check
This listing doesn't show a salary. Similar roles on FindRole typically pay $170,750–$262,400.
Peer median band
$170,750–$262,400
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$183,287–$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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