Machine Learning Engineer - Autonomy Lab

Carnegie Mellon University

Pittsburgh, PA, US
Onsite
Applied machine learning and ai
Deep learning, reinforcement learning, statistics
Robotics and autonomy principles
Conduct and lead novel prototyping in applied artificial intelligence with a focus on machine learning in autonomy and uncrewed systems

Job Summary

  • Conduct and lead novel prototyping in applied artificial intelligence with a focus on machine learning in autonomy and uncrewed systems.
  • Work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.
  • Enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program.

Matching Summary

Conduct and lead novel prototyping in applied artificial intelligence with a focus on machine learning in autonomy and uncrewed systems.

Skills & Requirements

Must-have

  • Applied machine learning and AI
  • Deep learning, reinforcement learning, statistics
  • Robotics and autonomy principles
  • Sensor fusion, navigation, object tracking
  • Docker, cloud platforms (Azure, AWS, GCP)
  • Test and evaluation of ML components

Nice-to-have

  • Creative, curious, and collaborative
  • Thought leadership and publications
  • Familiarity with emerging trends
  • Technical leadership experience
  • Experience with government projects

Key Requirements

  • BS in Computer Science with 8 years experience
  • MS in Computer Science with 5 years experience
  • PhD in Computer Science with 2 years experience
  • Ability to obtain and maintain security clearance
  • Willing to work onsite 5 days per week

Work Rights

Must be eligible to obtain and maintain a Department of War security clearance

Tailored Resume

Cover Letter