Software Engineer, Generative AI for Education, Google Research

Minimum qualifications:

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 5 years of experience with software development in one or more general-purpose programming languages, such as Python.
• 3 years of experience in the design, development, testing, and maintenance of scalable software or ML systems.
• 3 years of experience with specialized Machine Learning areas, such as Natural Language Processing (NLP), speech/audio processing, or ML infrastructure (e.g., model deployment, evaluation, and optimization).

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• Experience with Generative AI models or Large Language Models (LLMs) and their application to user-facing products.
• Experience in a technical leadership role (e.g., leading project implementations, acting as a technical mentor).
• Experience with cloud-based ML platforms and tools, such as vertex AI.
• Ability to propose, initiate, and lead new, complex, multi-month engineering projects.
• Passion for the mission of improving education globally.

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.

The Education team, part of Google Research, is pioneering high-impact, society-benefiting educational experiences using Generative AI. We are an agile, interdisciplinary group of engineers and research scientists dedicated to open-ended problems. Our focus is on building novel solution from bite-sized pronunciation practice tools to rich, learning journeys that will reach learners and educators globally via key Google surfaces like Gemini, Google search, and classroom.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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

• Design, implement, and take ownership of specialized Generative AI and Machine Learning solutions (e.g., personalized feedback, multimedia generation) across the full lifecycle from data collection and modeling to evaluation and deployment.
• Design, deploy, and maintain the ML infrastructure and data pipelines required to support the development and scalable serving of conversational education systems.
• Collaborate closely with research scientists, product managers, and UX/program managers to define project scope, ensure technical alignment, and deliver highly effective user experiences.
• Act as a technical leader in the implementation of product solutions, contribute to design and code reviews to enforce best practices, and mentor junior engineers.
• Write, test, and maintain robust, high-quality production code for core educational capabilities.