Software Engineer III, Education, AI Feature

Google Inc.; Ciudad de México; Presencial; MXN 600,000 - 800,000; Jornada completa

Descripción de la vacante

A leading technology company in Mexico City seeks a skilled full-stack Software Engineer to develop AI tools for education. Candidates should have a Bachelor's degree in Computer Science and 2 years of software development experience, particularly with programming in Java and machine learning applications. The role involves developing scalable solutions and participating in a collaborative code review process, requiring strong communication skills in English.

Formación

• Bachelor’s degree or equivalent practical experience.
• 2 years of software development experience or 1 year with advanced degree.
• 2 years of experience with data structures or algorithms.

Responsabilidades

• Develop scalable features and systems using Google’s full stack.
• Write and test high-quality code for AI tools in Google Classroom.
• Participate in code reviews to maintain code quality.

Conocimientos

Software development

Data structures

Algorithms

Programming in Java

Machine learning

Full-stack application development

Educación

Bachelor’s degree in Computer Science or equivalent

Descripción del empleo

Overview

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.

Google Classroom is a learning platform that streamlines assignments, boosts collaboration and fosters seamless communication between instructors and students.

The Baimax team aims to establish how AI can fundamentally transform teaching and establish a cohesive, consistent and holistic goal and narrative to bring such transformation to life. By providing scalable and reliable AI solutions, the team empowers Education users with features that enhance productivity, streamline workflows and unlock new possibilities. The team's work is essential in driving the future of AI in education, transforming teaching and learning at scale.

We're looking for a skilled full-stack Software Engineer to join our team and help build AI tools and integrations that bring the best of Google's AI capabilities to educators and learners.

Learning is the ongoing quest for understanding, and we made it our mission more than 20 years ago to organize the world’s information to make it universally accessible and useful. The learning landscape is changing, and the Learning and Education team's mission is to help everyone in the world learn anything in the world. We provide the information, tools, and services that help people gain knowledge, fuel curiosity, and prepare for what’s next. We focus our work to add the most value for users to enable learning for school, work, and life. We believe everyone can and should have access to quality learning experiences to reach their full potential.

Responsibilities

• Develop scalable features and systems using Google’s full stack (e.g. Wiz, Flutter, Boq, Spanner).
• 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.
• Participate in on duty, triaging high priority issues and supporting the health of our AI tools.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with data structures or algorithms in either an academic or industry setting.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.
• 2 years of programming experience in Java.
• Experience building and deploying full-stack applications and servers.
• Experience with data analysis, problem-solving, machine learning, A/B testing.
• Experience in applied machine learning (e.g., computer vision, transformers, generative AI, LLM).

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.