Software Engineer, Education, AI Feature

2 Minutes ago • 1 Years + • Research Development

Job Summary

Job Description

Google is seeking a versatile Software Engineer to develop next-generation technologies, handling information at massive scale across various domains like AI, distributed computing, and UI design. This role involves working on a critical project, specifically developing AI tools within Google Classroom. Responsibilities include crafting engineering designs, writing high-quality code, investigating new capabilities, and managing launches to ensure safe and performant AI tools for educators. The ideal candidate will be enthusiastic about tackling new full-stack problems and contributing to Google's evolving technology.
Must have:
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Develop scalable, features and systems using Google’s full stack.
  • Write and test high-quality code that powers AI tools in Google Classroom, ensuring a seamless experience for our users.
  • Participate in code reviews, providing constructive feedback to other engineers to maintain code quality and promote best practices.
  • Manage individual project priorities, meeting deadlines, and delivering high-quality results.
Good to have:
  • Master's degree or PhD in Computer Science or related technical field
  • Experience developing accessible technologies
  • Experience in Generative AI
  • Experience in Backend coding (e.g., Java) and data analysis skills

Job Details

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 1 year of experience with data structures or algorithms.
  • 1 year of experience with full stack development, across back-end such as Java, Python codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • Experience developing accessible technologies.
  • Experience in Generative AI.
  • Experience in Backend coding (e.g., Java) and data analysis skills.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will be working on AI tools within Google Classroom, being responsible for all facets of software development. The team craft thoughtful engineering designs, write high-quality code, investigate new capabilities, explore nascent technologies, and manage launches carefully to ensure that provide safe and performant AI tools for educators.

Please submit your resume in English - we can only consider applications submitted in this language.

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

Responsibilities

  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Develop scalable, features and systems using Google’s full stack.
  • Write and test high-quality code that powers AI tools in Google Classroom, ensuring a seamless experience for our users.
  • Participate in code reviews, providing constructive feedback to other engineers to maintain code quality and promote best practices.
  • Manage individual project priorities, meeting deadlines, and delivering high-quality results.

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