Lead AI & Autonomy Research Scientist

Carnegie Mellon University; Arlington (VA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Free Pittsburgh bus pass

Tuition benefits

Paid time off & holidays

Life and disability insurance

Fitness center access

Job summary

Carnegie Mellon University’s AI for Autonomy Lab in the SEI’s AI Division seeks a Senior Autonomous Systems Research Scientist. The role focuses on creating research agendas and leading research supporting critical U.S. government needs in AI-enabled autonomous systems.

Expect hands-on work across ML, robotics, and autonomy domains, plus collaboration with diverse teams. You will mentor staff, develop prototypes for government customers, and present findings at conferences and in journals,

Qualifications

• Published track record in ML and robotics research.
• Ability to lead research projects and collaborate with stakeholders.
• Strong written and verbal communication; ability to convey complex ideas.

Responsibilities

• Hands-on research: lead novel ML and robotics work.
• Solution development: turn research into prototype capabilities for government customers.
• Collaborate with researchers, developers, engineers, and government customers.
• Mentor junior staff and contribute to technical norms.
• Maintain awareness of AI-enabled autonomous systems and national security use cases.
• Deliver technical presentations and publish in peer-reviewed journals.

Skills

Machine learning research

Robotics research

Communication skills

Proposal writing

Python

C/C++

Cross-disciplinary collaboration

National Security focus

Education

BS in Robotics, CS, ML, EE

MS in same fields

PhD in same fields

Tools

Python

C/C++

Job description

Carnegie Mellon University’s AI for Autonomy Lab in the SEI’s AI Division seeks a Senior Autonomous Systems Research Scientist. The role focuses on creating research agendas and leading research supporting critical U.S. government needs in AI-enabled autonomous systems.

Expect hands-on work across ML, robotics, and autonomy domains, plus collaboration with diverse teams. You will mentor staff, develop prototypes for government customers, and present findings at conferences and in journals,