In this role, you will design, develop, and maintain technical learning content and curricula for various cloud roles, including ML Engineers, Data Scientists, Data Engineers, and Developers. You will translate technical content into effective learning content and curricula. You should have an understanding of cloud computing technologies, learning and development tools, principles of instructional design, and experience working as a Technical Curriculum Developer in ML/AI or as an ML Engineer or Data Scientist.
Key responsibilities include:
- Designing and developing creative, learner-centered training content for on-demand, instructor-led, and blended training.
- Analyzing Google Cloud AI/ML technologies to understand services and develop effective training for customers.
- Collaborating with Engineers, Portfolio Managers, and other partners to support initiatives.
- Ensuring best practices standardization across all projects, content, and curricula.
- Performing needs and task analysis, scoping projects, and evaluating existing documentation.
The ideal candidate will have:
- A Bachelor's degree in Computer Science, Mathematics, or Information Architecture.
- 4 years of experience in Machine Learning or related discipline.
- 2 years of experience with cloud computing technologies.
- 2 years of experience as a technical instructor or in technical training curriculum development.
- Experience with writing and editing learning content, including explaining technical topics to non-technical audiences.
- Experience with Python coding, data science libraries, and creating Jupyter notebooks.
- Experience building and managing ML pipelines.
This position offers a competitive salary range of $129,000-$191,000 + bonus + equity + benefits, determined by factors such as job-related skills, experience, and location.