Join Google as a Software Engineer III, specializing in AI/ML. You will be instrumental in developing next-generation technologies that shape how billions interact with information. Our work spans massive-scale information handling and extends far beyond web search. We seek innovative engineers from diverse backgrounds, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, AI, natural language processing, UI design, and mobile technologies.

This role offers the chance to contribute to critical Google projects, with opportunities to explore different teams and technologies as our fast-paced business evolves. We value versatility, leadership potential, and a proactive approach to tackling new challenges across the full technology stack. At Corp Eng, we craft world-leading business solutions that enhance Google's global operations, providing essential tools and platforms for all Googlers.

Develop robust product and system code.

Engage in collaborative design and code reviews with peers and stakeholders, ensuring adherence to best practices, including style guidelines, code integration, accuracy, testability, and efficiency.

Contribute to the creation and refinement of documentation and educational materials, adapting them based on product updates and user feedback.

Analyze and resolve product or system issues through meticulous triage, debugging, tracking, and resolution, assessing impacts on hardware, network, or service operations.

Implement advanced solutions in specialized ML areas, leveraging ML infrastructure, and actively contribute to model optimization and data processing efforts.

A Bachelor's degree or equivalent practical experience is required.

Possess at least two years of experience in software development using one or more programming languages. Alternatively, one year of experience is sufficient with an advanced degree.

Demonstrate one year of experience in areas such as speech/audio technology, reinforcement learning, ML infrastructure, or another specialized ML field.

Have one year of hands-on experience with ML infrastructure, encompassing model deployment, evaluation, optimization, data processing, and debugging.