Associate AI Workforce Development Engineer
- Employer
- Carnegie Mellon University
- Location
- Pennsylvania, United States
- Salary
- Salary Not Specified
- Date posted
- May 18, 2023
View more
- Position Type
- Faculty Positions, Science, Technology & Mathematics, Computer Sciences & Technology, Engineering, Other Science & Technology, Administrative, Academic Affairs, Instructional Technology & Design (Campus), Business & Administrative Affairs, Computer Services & Information Technology
- Employment Type
- Full Time
Job Details
What We Do
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
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 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.
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, and robust and secure.
Understanding Customer N eeds: 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 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.
- 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.
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
Company
Carnegie Mellon University challenges the curious and passionate to imagine and deliver work that matters.
A private, global research university, Carnegie Mellon stands among the world's most renowned educational institutions, and sets its own course. Start the journey here.
Over the past 10 years, more than 400 startups linked to CMU have raised more than $7 billion in follow-on funding. Those investment numbers are especially high because of the sheer size of Pittsburgh’s growing autonomous vehicles cluster – including Uber, Aurora, Waymo and Motional – all of which are here because of their strong ties to CMU.
With cutting-edge brain science, path-breaking performances, innovative startups, driverless cars, big data, big ambitions, Nobel and Turing prizes, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we create it.
Many seek Pittsburgh for being a hot spot for entrepreneurship and a model for future cities. Others come for the city's burgeoning food scene.
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