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The Technology for Effective and Efficient Learning (TEEL) Lab at CMU is seeking a Learning Engineer to contribute to educational and research projects in emerging technology areas. At the TEEL Lab, we collect and analyze student data to inform the development and maintenance of technology-enhanced learning tools and design of features that enable learning research. New initiatives include the development of infrastructure and content for large-scale workforce training programs in cloud computing, data science, and AI/ML.

The TEEL Lab develops, maintains, and evaluates a portable and interoperable online learning ecosystem that supports iterative and interactive learning. Furthermore, in addition to content and software development, the lab conducts studies of student learning and evaluates innovative approaches for incorporating social learning as a driver for developing cognitive skills and motivation through reflection, interaction, and cohort building.

As a Learning Engineer in the TEEL Lab, you will be involved with technology-enabled learning projects primarily related to data science, and AI/ML. This may involve designing, developing, and deploying interactive training projects that are hosted on a cloud-native set of microservices. You will be a member of our team developing, maintaining, and utilizing a project-based online social learning platform for workforce training at scale.

Core Responsibilities:

• Developing interactive learning materials in one or more of the target areas.
• Designing content that maps to a set of learning objectives, the development of a proof of concept, and deploying a production-ready project module on our cloud-hosted infrastructure.
• Developing appropriate metrics for assessing student learning, collecting, analyzing, and interpreting data on student learning, attitudes, and engagement, reporting on assessment data and research-based pedagogical strategies, disseminating best practices, research, and emerging developments on formative assessment, including partnering with faculty to publish assessment work.
• Consulting with instructors about teaching and course design, especially as it relates to effective assessment practices.
• Leading learning engineering research activities, such as academic writing, quantitative data collection and visualization, and design and conduct of qualitative research (e.g., interviews or surveys).

Inclusion and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who can effectively interact with a varied population of diverse audiences. We are looking for someone who shares our values and who will support the mission of the university through their work.

This is a great opportunity for someone to work in a creative, dedicated, driven team, in a collaborative environment committed to technical innovation, inclusion, and work-life balance.

Qualifications:

• At least a Bachelor's degree or higher in Computer Science, Instructional Design, Learning Sciences, or a related field.
• Demonstrated experience of applying rigorous quantitative and/or qualitative research methods to empirically study a research question.
• Experience in applied ML, natural language processing (NLP), or data science.
• Experience securely managing and analyzing complex data sets.
• Strong oral and written communication skills, including maintaining confidentiality.
• Ability to work collaboratively, effectively, and professionally in settings of social and intellectual diversity.
• Ability to successfully navigate ambiguity, balance multiple competing responsibilities, meet deadlines on time, and meticulously pay attention to detail.
• Sensitivity to teaching and learning needs at a research university.

Preferred Qualifications:

• Experience with commercial cloud services such as Microsoft Azure, AWS, or Google Cloud Platform.
• Experience with web service development frameworks.
• Full-stack development with HTML, CSS, JavaScript, Python.
• Experience with RESTful web services.
• Experience with SQL and NoSQL databases.
• Experience building, deploying, monitoring, and troubleshooting containerized microservices using Docker, Kubernetes, and Helm.

Requirements:

• Successful background check

Are you interested in this exciting opportunity?! Apply today!

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.

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