Job Type
Full Time
Job Details
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Cambridge, MA, USA; Chicago, IL, USA; Dallas, TX, USA. Minimum qualifications:
Preferred qualifications:
- Bachelor's degree in Computer Science, Mathematics, or Information Architecture, or equivalent practical experience.
- 5 years of experience in Cloud Data or related discipline.
- 2 years of experience as a technical instructor or in technical training curriculum development.
- 2 years of experience with cloud computing technologies.
Preferred qualifications:
- Associate or professional certification in Cloud ML Engineer or Cloud Architect.
- Experience creating and managing learning by collaborating with highly technical subject matter experts and managers to develop training content and curricula.
- Experience coding in Python, using data science libraries (e.g., NumPy, Pandas, etc.) and creating Jupyter notebooks.
- Experience building and managing pipelines.
- Excellent communication, writing, and editing skills within learning content, including effectively explaining technical topics to novice or non-technical audiences.
- Ability to collaborate with highly technical subject matter experts and stakeholders to develop training content and curricula.
About the job
In this role, you will design, develop, and maintain technical learning content and curricula for various cloud roles. These roles include ML Engineers, Data Scientists, Data Engineers, and Developers. You will translate technical content into effective learning content and curricula. You will have an understanding of cloud computing technologies, learning and development tools and principles instructional design.
You will use your experience working as a Technical Curriculum Developer in ML/AI or as an ML Engineer or Data Scientist. You will enjoy keeping your technical skills and be empowered to maintain your technology leadership in our learning organization.
The US base salary range for this full-time position is $129,000-$191,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. - Design and develop creative, learner-centered training content for on-demand, instructor-led, and blended training. Build associated assets including, labs, videos, facilitator guides, and other resources.
- Analyze Google Cloud Data solutions and products such as BigQuery, Dataflow, Dataproc, Dataplex, Cloud Composer, Cloud Spanner and understanding their role in enabling Generative AI in order to develop effective training for our customers.
- Collaborate effectively with Engineers, Portfolio Managers, and other partners to support initiatives.
- Ensure and drive best practices standardization across all projects, content, and curricula.
- Perform needs and task analysis, scope projects, and evaluate existing documentation to identify the most appropriate training approach and content to meet the learning needs of each audience across global audiences.
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