Location: Pittsburgh, Pennsylvania
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
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 work with other team members to develop and deliver 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 participated in the creation, development, or delivery of 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. You can present complex ideas to people who may not have a deep understanding of the subject area.
Knowledge and Learning: You possess broad technical interests along with a desire to maintain awareness and learn about continued advancements in human-computer interaction, data analytics, machine learning, advanced computing, autonomy, and artificial intelligence.
Developing and Delivering Training: You work with team members to create courses and curricula that satisfy learning objectives. You will produce creative and engaging scenario-based simulations and 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 Customer Needs: 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.
Learning Analytics and Continuous Improvement: You will work with team members to analyze the quality of our learning products. You will keep current on the latest advances in AI training to constantly improve our offerings for AI for defense and national security.
BS in Computer Science, Data Science, Information Science, or related discipline with five years of applicable work experience or MS in the same fields with three 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.
CMU's COVID-19 Vaccination Requirements: As a condition of employment, Carnegie Mellon University requires all staff and faculty working in the United States to be fully vaccinated, including a booster when eligible, against COVID-19. Prior to commencement of employment, new hires in the United States must provide proof of vaccination or obtain an approved exemption. (Exemptions may be requested for medical reasons or for religious or strong moral or ethical conviction.) Staff and faculty must comply with all applicable COVID-19 mitigation requirements. Please see Minimum Requirements to Return to Campus for details regarding the university's current COVID-19 mitigation requirements.
Arlington, VA, Pittsburgh, PA
Staff - Regular
Full Time/Part time
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Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
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