Senior Machine Learning Engineer - Secure Ai Lab

Carnegie Mellon University

Pittsburgh, PA, US
Onsite
Machine learning frameworks (tensorflow, pytorch)
Programming languages (python, c/c++, java)
Data pipelines and etl processes
The Secure AI Lab focuses on improving the security and robustness of AI systems by protecting them from adversaries

Job Summary

  • The Secure AI Lab focuses on improving the security and robustness of AI systems by protecting them from adversaries.
  • Engineers will analyze, design, and build responsible AI systems, transitioning capabilities to government sponsors.
  • Carnegie Mellon offers comprehensive benefits including medical, retirement, tuition, and paid time off.

Matching Summary

The Secure AI Lab focuses on improving the security and robustness of AI systems by protecting them from adversaries.

Skills & Requirements

Must-have

  • Machine learning frameworks (TensorFlow, PyTorch)
  • Programming languages (Python, C/C++, Java)
  • Data pipelines and ETL processes
  • AI system design and building
  • Technical experimentation and evaluation
  • Collaboration with researchers and sponsors

Nice-to-have

  • Creative, curious, energetic, collaborative
  • Making a difference in government organizations
  • Mentoring and teaching junior team members
  • Publishing written or technical artifacts

Key Requirements

  • Bachelor's degree + 10 years experience
  • MS degree + 8 years experience
  • PhD + 5 years experience
  • Ability to obtain and maintain security clearance
  • Willingness to work onsite 5 days per week
  • Willingness to travel up to 25%

Work Rights

Must be able to obtain and maintain an active Department of War security clearance

Tailored Resume

Cover Letter