Senior Machine Learning Engineer - Secure Ai Lab

Carnegie Mellon University

Pittsburgh, PA, US
Not specified; not specified; comprehensive medica...
Onsite
Tensorflow pytorch caffe frameworks
Python c++ java programming
Data pipelines etl backend systems
The role focuses on engineering solutions to research vulnerabilities in AI algorithms and securing them against adversarial attacks

Job Summary

  • The role focuses on engineering solutions to research vulnerabilities in AI algorithms and securing them against adversarial attacks.
  • Candidates will design and build well-engineered prototypes of AI systems while transitioning capabilities to government sponsors.
  • Benefits include comprehensive medical insurance, a generous retirement savings program, tuition benefits, and a free transit pass.

Matching Summary

The role focuses on engineering solutions to research vulnerabilities in AI algorithms and securing them against adversarial attacks.

Salary

Not specified; Not specified; Comprehensive medical, dental, vision, retirement, tuition benefits included

Skills & Requirements

Must-have

  • TensorFlow PyTorch Caffe frameworks
  • Python C++ Java programming
  • Data pipelines ETL backend systems
  • Computer vision NLP robot control
  • Rapid prototyping security evaluation

Nice-to-have

  • Adversarial machine learning experience
  • Publishing technical artifacts
  • Mentoring junior team members
  • Collaborating with government sponsors
  • Creative curious energetic traits

Key Requirements

  • Bachelor's degree plus 10 years experience OR PhD plus 5 years
  • Active Department of War security clearance required
  • Willingness to work onsite 5 days per week
  • Ability to travel up to 25% of the time

Work Rights

Must obtain and maintain active Department of War security clearance

Tailored Resume

Cover Letter