Machine Learning Engineer - Secure AI Lab

Carnegie Mellon University

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Work type
On-site
Location
Pittsburgh, PA · Arlington, VA
Posted
17 days ago
Nearby
99+ roles within 25 mi

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Similar $212k
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About Carnegie Mellon University

Carnegie Mellon University is a leading private research university in Pittsburgh, Pennsylvania, internationally recognized for programs in computer science, engineering, business, the arts, and artificial intelligence. Industry: Higher Education & Research

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TL;DR · Machine Learning Engineer - Secure AI Lab

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As a Machine Learning Engineer at the SEI AI Division's Secure AI Lab in Pittsburgh, PA or Arlington, VA, you will join a world-class team focused on enhancing the security and robustness of AI systems against adversarial threats. Your daily tasks will involve identifying emerging technologies, refining processes for working with AI, designing prototypes, and transitioning capabilities to government sponsors. You will work with frameworks like TensorFlow and PyTorch, using Python, C/C++, and Java to build data pipelines and backend systems while experimenting with cutting-edge machine learning methods in domains such as computer vision and natural language processing. Additionally, you will conduct testing and evaluation of AI systems for performance and security, collaborate closely with researchers and sponsors, and mentor junior team members. This role requires a strong background in machine learning, engineering practices, and the ability to convert research into practical solutions.

Skills

Python TensorFlow PyTorch Caffe Java C/C++ CI/CD Mentoring Collaboration Adversarial Machine Learning Computer Vision Natural Language Processing Robot Control Planning and Scheduling Data Pipelines ETL Backend Systems Security Testing Performance Evaluation

What you'll do

  • Build machine learning models and systems using frameworks like TensorFlow and PyTorch.
  • Conduct technical experimentation with modern machine learning methods in various application domains.
  • Design and build well-engineered prototypes of AI systems for government sponsors.
  • Evaluate AI systems for performance and security using novel testing techniques.
  • Mentor junior team members to improve overall technical capabilities.

What we're looking for

  • Extensive experience in machine learning and adversarial machine learning.
  • Strong track record of converting research into functioning prototypes or capabilities.
  • Proficiency in modern programming languages (Python, C/C++, Java) and ML frameworks (TensorFlow, PyTorch).
  • Experience leading technical projects in novel areas with limited previous work to build upon.
  • Excellent written and verbal communication skills for complex technical ideas.
  • Willingness to collaborate, mentor junior team members, and guide project development.
  • Ability to obtain and maintain an active Department of War security clearance.

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