Machine Learning Engineer

Responsibilities

• Lead engineering research to develop prototype operational capabilities in applied AI for autonomy and uncrewed systems
• Work with interdisciplinary teams to turn research results into mission-scale AI capabilities for government customers
• Conduct novel prototyping in machine learning with a focus on multi-domain autonomy
• Collaborate with software developers, researchers, and designers to influence the national research and engineering agenda
• Mentor and teach others to improve the overall technical capabilities of the SEI AI Division

Requirements

• BS in Computer Science or related field with 8 years of experience, MS with 5 years, or PhD with 2 years
• Ability to work onsite in Pittsburgh, PA or Arlington, VA 5 days per week
• Eligibility to obtain and maintain a Department of War security clearance
• Extensive experience in applied machine learning and artificial intelligence
• Strong knowledge of robotics and autonomy principles (sensor fusion, navigation, collision avoidance)
• Experience with Docker and cloud platforms (Azure, AWS, or GCP)
• Experience with model experimentation software such as MLFlow or Weights & Biases

Preferred Qualifications

• Track record of research publications or contributions to open-source code
• Experience leading technical projects and mentoring researchers
• Experience formulating and delivering successful research proposals to funding agencies
• Familiarity with government research sponsors such as DARPA, IARPA, or various military branches

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 for childcare support

About the Company

Carnegie Mellon University is a world-renowned institution and a hotspot for talented innovators. The SEI AI Division conducts research in applied artificial intelligence to mature the discipline of AI Engineering for Defense and National Security, solving practical engineering problems to build robust, secure, and scalable mission capabilities.