Senior Machine Learning Engineer - Secure AI Lab
Carnegie Mellon University · Pittsburgh, PA · 5 mo ago
Information TechnologyFull-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. Build and work with data pipelines, ETL processes, and backend systems. Extend and implement 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. 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: 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 ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD with five (5) years of experience.
- Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA.
- Ability 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.