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Machine Learning Solutions Engineer, Cloud Learning Services

Google Cloud accelerates digital transformation for organizations, leveraging cutting-edge technology and tools for developers.
$142,000 - $211,000
Machine Learning
Mid-Level Software Engineer
Hybrid
5,000+ Employees
6+ years of experience
AI · Enterprise SaaS
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Description For Machine Learning Solutions Engineer, Cloud Learning Services

The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. As a Machine Learning Solutions Engineer in the Cloud Learning Services (CLS) team, you will focus on delivering, creating, and maintaining cutting-edge Machine Learning and Generative AI content. You'll collaborate on research and engineering projects, as well as customer engagements that deliver real impact.

Key responsibilities include:

  • Owning the success of ML Advanced Solutions Lab experiences
  • Leading and supporting customers' Machine Learning projects
  • Designing AI/ML curriculum based on market and customer needs
  • Staying informed about ML developments and networking with Google Cloud ML research community
  • Acting as an ML SME within the Google Cloud Consulting team

The role requires a Bachelor's degree in Engineering, Computer Science, or related field (or equivalent experience), 6 years of coding experience, and experience in technical troubleshooting, managing partners/customers, and building ML models. Preferred qualifications include a Master's degree, experience with cloud technologies, data warehousing concepts, and analytical roles.

Google Cloud accelerates digital transformation for organizations, leveraging cutting-edge technology and tools for developers. The company serves customers in over 200 countries and territories, acting as a trusted partner for growth and solving critical business problems.

Google is committed to equal opportunity, diversity, and inclusion. They offer a comprehensive benefits package and are proud to be an affirmative action employer.

Last updated 8 months ago

Responsibilities For Machine Learning Solutions Engineer, Cloud Learning Services

  • Own the success of each ML Advanced Solutions Lab experience by delivering excellent content, identifying ML experts across Google to support specific sessions and providing ongoing curriculum enhancements
  • Lead and support customers' Machine Learning projects from project framing to implementation in the Advanced Solutions Lab
  • Design AI/ML curriculum by understanding market and customers' needs, and develop materials collaborating with the team and AI/ML experts across Google
  • Be informed of developments in ML and network across the Google Cloud ML research community, to provide ASL participants with up to date knowledge and unique opportunities for highly interactive engagements with other Google ML experts
  • Act as an ML SME within the Google Cloud Consulting team and support other ML activities

Requirements For Machine Learning Solutions Engineer, Cloud Learning Services

Java
Python
  • Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience
  • 6 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python)
  • Experience in technical troubleshooting, and managing internal/external partners or customers
  • Experience building ML models for different use cases and conducting ML technical training

Benefits For Machine Learning Solutions Engineer, Cloud Learning Services

Equity
  • bonus
  • equity
  • benefits

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