Generative AI Instructor, Machine Learning University

Full-time
The mission of the Machine Learning University (MLU) is to foster a community of ML practitioners who learn, apply, and advance ML knowledge. To do this, we develop educational programs and mechanisms that enable the tech community and engage scientists in teaching and mentoring others through our portfolio of programs.

With the recent advances in generative AI, we are looking to hire an instructor with deep knowledge of generative AI technology, and with proven experience applying it to solve concrete problems. We recognize that this is a new and evolving field and we look forward to seeing what you have done!

A successful candidate will be a passionate teacher with demonstrated ability to explain technical content (in particular machine learning, or generative AI content) to an audience of technical professionals, enhance curriculum, and coordinate with other instructors. Significant practical experience across domains and techniques are required to ensure content is up-to-date, practical and engaging. This is a full-time role where you will constantly be challenged to learn and be curious about all the unknown advances still to come. Help us demystify and democratize technology!

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Key job responsibilities
  • Teach courses: Teach at least one 120 minute lecture per week and host matching multi-hour office hours to work with students on projects and assignments integrating practical generative AI skills in each lesson plan.
  • Develop and revise curriculum: Coordinate with Amazon scientists and staff to enhance the practical relevance of class content and incorporate current use cases and applications.
  • Collaborate with scientists: Support the continuous engagement with Amazon scientists who contribute to the program as instructors and technical consultants.
  • Work with MLU program managers to ensure that students receive a high-quality, experience at the right level of technical depth ranging from conceptual familiarity to masters-level competency.


About the team
We pride ourselves on the fact that almost nobody on our team followed the direct path in life. We have come from many different backgrounds, and held many different careers before we all were brought together here to work together at MLU. This has repeatedly been a strength that has allowed us to tackle problems otherwise insurmountable.
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