Senior Machine Learning Engineer

Responsibilities

• Design, build, and implement well-engineered prototypes of AI systems to support research into algorithm vulnerabilities.
• Develop machine learning models and systems using frameworks such as TensorFlow, PyTorch, Torch, or Caffe.
• Build and manage data pipelines, ETL processes, and backend systems using Python, C/C++, or Java.
• Conduct technical experimentation in domains including computer vision, natural language processing, and robot control.
• Perform testing and evaluation of systems for both performance and security using novel analysis techniques.
• Collaborate with researchers and government sponsors to translate research results into functioning capabilities.
• Mentor junior team members and contribute to the technical growth of the division.

Requirements

• Bachelor's degree in Computer Science, Statistics, Machine Learning, Electrical Engineering, or a related field with 10 years of experience; OR MS with 8 years of experience; OR PhD with 5 years of experience.
• Ability to obtain and maintain an active Department of War security clearance.
• Willingness to work onsite 5 days per week in Pittsburgh, PA or Arlington, VA.
• Willingness to travel up to 25% to sponsor sites, conferences, or other SEI offices.
• Comprehensive knowledge of machine learning and a track record of using engineering practices to solve complex problems.

Preferred Qualifications

• Previous experience in adversarial machine learning.
• Experience leading technical projects in novel research areas.
• Strong history of publishing technical artifacts or written research.

Benefits

• Comprehensive medical, prescription, dental, and vision insurance.
• Generous retirement savings program with employer contributions.
• Tuition benefits and ample paid time off.
• Access to fitness centers and family concierge services.

About the Company

Carnegie Mellon University is a world-renowned institution and a leader in innovation. The SEI AI Division conducts cutting-edge research in applied artificial intelligence, focusing on the practical design, implementation, and security of AI technologies for defense and national security.