Associate Machine Learning Engineer - Secure AI Lab
Software Engineering Institute | Carnegie Mellon University · Arlington, VA · 1 mo ago
EngineeringFull-time
About the role
The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. This role involves specializing in engineering solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities.
Responsibilities
- Identifying and investigating emerging AI and AI-adjacent technologies.
- Defining and refining processes, practices, and tools for working with AI.
- Designing and building well-engineered prototypes of AI systems.
- Transitioning and providing guidance on AI capabilities to government sponsors.
- Building Machine Learning Models and Systems: Work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C++, and Java.
- Working with, extending, and implementing state-of-the-art machine learning methods.
- Technical Experimentation: 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: Conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments. Evaluate systems for performance and security. Test capabilities using novel testing and analysis techniques.
- Collaboration: Actively participate on teams of developers, researchers, designers, and technical leads. Collaborate with researchers and our government customers to understand challenges, needs, and possible solutions.
- Mentoring: Contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI.
Requirements
- A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with three (3) years of experience; OR MS in the same fields with one (1) year of experience; OR PhD in a relevant discipline.
- Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA.
- You will be subject to a background investigation and must be able to obtain and maintain an active Department of War security clearance.
- Willingness to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences.