Technical Curriculum Developer III, AI/ML, Cloud Learning

GoogleSeattle, WA
405d$129,000 - $191,000

About The Position

In this role, you will design, develop, and maintain technical learning content and curricula for various cloud roles. These roles include Machine Learning (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 have 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 honed and be empowered to maintain your technology leadership in our learning organization. To grow in this role, you will have knowledge in Cloud computing technologies, development languages, learning development principles and tools, and instructional design. You will also use your ability to translate technical content into effective learning solutions.

Requirements

  • Bachelor's degree in Computer Science, Mathematics, or Information Architecture or equivalent practical experience.
  • 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 within learning content, including explaining technical topics to non-technical audiences.

Nice To Haves

  • Associate or Professional certification in Cloud Machine Learning (ML) Engineer or Cloud Architect.
  • Experience creating and managing experiential learning (i.e.labs) by collaborating with technical subject-matter-experts and managers to develop training content and curricula.
  • Experience in Python coding, with experience using data science libraries (NumPy, Pandas, etc.) and creating Jupyter notebooks.
  • Experience building and managing Machine Learning (ML) pipelines.

Responsibilities

  • 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 AI/ML technologies such as Machine Learning Operations, Vertex AI Platform, Generative Artificial Intelligence (GenAI), Cloud Dataflow, Google BigQuery, Tensorflow, Cloud Dataproc, Cloud Spanner and other solutions areas to understand the services and develop effective training for our customers.
  • Collaborate with Engineers, Portfolio Managers, and other partners to support initiatives.
  • Ensure and deliver 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.

Benefits

  • 401k
  • health_insurance
  • dental_insurance
  • vision_insurance
  • life_insurance
  • disability_insurance
  • paid_holidays
  • paid_volunteer_time
  • tuition_reimbursement
  • professional_development
  • employee_stock_purchase_plan
  • performance_bonus
  • sign_on_bonus

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Web Search Portals, Libraries, Archives, and Other Information Services

Education Level

Bachelor's degree

Number of Employees

5,001-10,000 employees

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