AI Workforce Development Engineer at Carnegie Mellon University: Bridging Innovation and Learning

Carnegie Mellon University in Pittsburgh, PA is seeking an AI Workforce Development Engineer. The role combines cutting-edge research with practical training. Join our team to shape the future of AI for defense and national security.

Type: Full-Time
Posted: 03/01/2024
Category: Laboratory and Research

What We Do:
At the SEI AI Division, we conduct research in applied artificial intelligence and 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

• 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.

Position Summary:

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.

Requirements:

• AI and ML: You have an understanding of AI and ML fundamentals and best practices. You understand the context of 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 of 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.

Duties:

• 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, 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.

Other Requirements:

• BS in Computer Science, Data Science, Information Science, or related discipline with 8 years of applicable work experience or MS in the same fields with 5 years of applicable work experience, or a PhD in the same with 2 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 the sponsorship of an employment visa for this opportunity.

Location:

Arlington, VA, Pittsburgh, PA

Job Function:

Software/Applications Development/Engineering

Position Type:

Staff – Regular

Full-Time/Part-time:

Full time

Pay Basis:

Salary

More Information:

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits.
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

Carnegie Mellon University does not discriminate, and Carnegie Mellon University is required not to discriminate in admission, employment, or administration of its programs or activities based on race, color, national origin, sex, or handicap in violation of Title VI of the Civil Rights Act of 1964, Title IX of the Educational Amendments of 1972 and Section 504 of the Rehabilitation Act of 1973 or other federal, state, or local laws or executive orders.

Apply on the Institution’s Website

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