Massachusetts Institute of Technology — Learning Engineer

MIT Open Learning seeks a learning engineer to help faculty and course teams design, develop, assess, and iteratively improve digital learning experiences using data-informed decision making.


  • Work with faculty/course teams/colleagues to incorporate research-based teaching practices into face-to-face, blended, and fully online courses and to measure their impact.
  • Collaborate/consult with faculty on course design, assessment, technology selection, and media integration.
  • Develop online and face-to-face training materials/documentation.
  • Conduct workshops and presentations.
  • Maintain understanding of educational technologies, especially those used for teaching MIT-wide (Canvas, MITx, Zoom, Gradescope, Panopto, Piazza, Slack).
  • Disseminate results of the learning engineering process.
  • Coordinate instructional and educational technology-related projects/events to help improve teaching at MIT.
  • Other duties as needed.


  • Undergraduate degree (master’s preferred) in STEM field, instructional design, learning engineering, learning sciences, or related field.
  • Three years’ relevant work experience.
  • Demonstrated effectiveness when consulting with faculty and subject matter experts to assess learning needs and recommend high-impact learning solutions.
  • Proficiency applying learning sciences knowledge and research-based teaching practices to face-to-face and online classes.
  • Understanding of the learning engineering process and its application.
  • Excellent oral and written communication skills.
  • Proficiency with Canvas learning management system and a range of other educational technologies.
  • Experience with task-centered instruction and other frameworks that go beyond learning objectives.
  • Flexibility necessary to work in a highly fluid organization, acquiring new skills and adapting as needed.
  • Ability to work as part of a team and with individuals with diverse skills at all levels of an organization.
  • Ability to evaluate the effectiveness of and quickly master new technologies for teaching and learning.
  • Ability to work on multiple projects concurrently.

Interested candidates may apply on-line at  Please reference job number 19593.

MIT is an equal employment opportunity employer. 

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. MIT’s full policy on nondiscrimination can be found at