At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.
As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we
Build real-world, mission-scale AI capabilities through solving practical engineering problems
Discover and define the processes, practices, and tools to support operationalizing AI for human-centered, robust, secure, and scalable mission capabilities
Prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities
Identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape
Are you creative, curious, and collaborative? Do you enjoy doing meaningful and complex work? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.
As an AI Workforce Development Engineer, you will lead the development and delivery of AI training capabilities, programs, and software for customers, stakeholders, and the public.
AI and ML:You have an understanding of AI and ML fundamentals and best practices.You understand the context for AI for defense and national security.
Curriculum Building and Training:You have experience building curriculum and developing training for a variety of audiences. You have created, developed, or delivered experiential learning opportunities. You have experience creating content for MOOCs via platforms such as Digital U and Udemy. You have experience managing coursework on learning management systems such as Moodle and Canvas.
Communication and Collaboration: You are an exceptional communicator and can interact collaboratively and diplomatically with customers and colleagues at all levels of experience and knowledge. You grasp the big picture, direction, and goals of an effort while having the natural ability to dig into the details on problems and technical concepts and provide clear direction. You can present complex ideas to people who may not have a deep understanding of the subject area.
Creativity and Innovation: You are creative and curious, and you are inspired by the prospect of collaborating with premier researchers and visionaries at Carnegie Mellon University and innovation-focused organizations. You quickly learn new procedures, techniques, and approaches. You are forward-looking and can translate research findings into courses where participants apply them to practical challenges.
Project Management: You have a successful track record of leading, managing, and executing projects to develop software systems and to develop training and curricula.
Leading Development and Delivery of Training: You will lead the creation of courses and curricula, defining learning objectives to developing course materials and teaching. You will produce creative and engaging scenario-based simulationsand define and solve challenging problems related to effective learning.
Translating Research into Lessons for Practical Application: As the AI Division leads the creation of an AI Engineering Body of Knowledge, you will translate that research into coursework to equip students to create, deploy, and maintain AI solutions that are scalable, human-centered, and robust and secure.
Understanding Needs and Prioritizing: You will engage with customers, stakeholders, and others to understand their problems, challenges, and needs for developing their AI workforce. You will collect requirements and objectives. You will identify potential new directions for curricula to meet DoD needs for reliable AI solutions in the mission context. With Division leadership,you will direct the team's time and effort as they balance demand for training products.
Learning Analytics and Landscape Analysis: You will analyze the quality of the learning products created by the team. Tasks can include curriculum design, knowledge and performance assessment, feedback, and remediation. You will understand the state of the art in AI education and training to constantly improve our offerings for AI for defense and national security.
Collaboration and Leadership:You will lead and supervise projects and teams, providing performance feedbackand project management.
BS in Computer Science, Data Science, Information Science, or related discipline with 10 years of applicable work experience; MS in the same fields with 8 years of applicable work experience; or PhD with 5 years of applicable work experience.
Government/military service in positions involving information technology and management of large-scale government networks is preferred.
Willingness to travel to various locations in support of the SEI's overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion. Moderate travel (15%).
You will be subject to a background check and must be eligible to obtain and maintain a Department of Defense security clearance.
Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.
Arlington, VA, Pittsburgh, PA
Staff - Regular
Full time/Part time
Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 12,000 students in the university’s seven schools and colleges benefit from a small student-to-faculty ratio and an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration and innovation. A global university, Carnegie Mellon’s main campus in the United States is in Pittsburgh, Pa. It has campuses in California’s Silicon Valley and Qatar, and programs in Africa, Asia, Australia, Europe and Mexico.