Associate Machine Learning Engineer - Secure AI Lab

About the role

The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. The 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. The lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in areas such as counter AI research, AI and ML algorithm defense research, and applied adversarial machine learning.

Responsibilities

• Identify and investigate emerging AI and AI-adjacent technologies.
• Define and refine processes, practices, and tools for working with AI.
• Design and build well-engineered prototypes of AI systems.
• Transition and provide guidance on AI capabilities to government sponsors.
• Build 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.
• 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.
• Collaborate: 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.
• Mentor: 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.