Lead AI Systems Engineer

1 week ago

Pittsburgh, Pennsylvania, United States Software Engineering Institute Full time

At the Software Engineering Institute (SEI), we are pioneers in applied artificial intelligence and engineering excellence. Our mission is to advance the discipline of AI Engineering for Defense and National Security.

We collaborate with government customers to integrate AI and machine learning into their operations, providing leap-ahead mission capabilities.

We build real-world, mission-scale AI capabilities through practical engineering solutions.

We discover and define processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities.

We prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities.

We identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape.

This role is ideal for a creative, curious, energetic, collaborative, technology-focused, and hard-working individual who wants to make a difference by bringing innovation to government organizations.

Job Overview: As a Senior Machine Learning Engineer, you will specialize in engineering solutions that support Adversarial Machine Learning (AML) research.

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 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.

Your Key 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

Duties and Responsibilities:

  • 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. You'll evaluate systems for performance and security. You'll test capabilities using novel testing and analysis techniques.
  • Collaboration: You'll actively participate on teams of developers, researchers, designers, and technical leads. You'll collaborate with researchers and our government customers to understand challenges, needs, and possible solutions.

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 in with five (5) years of experience
  • An active Department of Defense TS/SCI security clearance is required
  • Legally authorized to work for Carnegie Mellon University in the United States

Location: Pittsburgh, PA

Job Function: Software/Applications Development/Engineering

Position Type: Staff - Regular

Full time/Part time: Full time

Pay Basis: $120,000 - $180,000 per year

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