Associate Machine Learning Engineer - Secure AI Lab

Overview

As an Associate Machine Learning Engineer, you will specialize in engineering solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities.

The Secure AI Lab within the SEI's AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, the Secure AI Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn't supposed to.

Duties

• Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C++, and Java.
• Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.
• Testing and evaluation. You'll conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments.
• Collaboration. You'll actively participate on teams of developers, researchers, designers, and technical leads.
• Mentoring. You'll contribute to improving the overall technical capabilities of the Division by mentoring and teaching others.