This listing doesn't post a salary. Most similar roles pay
$183,668–$249,750.
Based on 240 similar postings.
Employer
About Carnegie Mellon University
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
44 open roles
on FindRole.
As an Associate Machine Learning Engineer at the Secure AI Lab within Carnegie Mellon University’s SEI, 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 domains 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 in adversarial machine learning being advantageous, and the ability to convert research into practical solutions.