Software Engineer III, AI/ML, Corporate Engineering

As a software engineer at Google, you will be involved in developing next-generation technologies that have a massive impact on how billions of users connect, explore, and interact with information. Your expertise will be required in areas such as information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. You will have the opportunity to work on critical projects essential to Google's needs, with the flexibility to switch teams and projects as both you and the business evolve. Google values versatility, leadership, and enthusiasm in engineers who are eager to tackle new challenges across the full-stack. Key Responsibilities: - Write product or system development code. - Collaborate with peers and stakeholders through design and code reviews to ensure best practices. - Contribute to existing documentation or educational content based on updates and user feedback. - Triage and resolve product or system issues by analyzing their sources and impact. - Implement solutions in specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model and data processing. Qualifications Required: - 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. - 2 years of experience with data structures or algorithms. - 1 year of experience with Speech/audio technology, reinforcement learning, Machine Learning (ML) infrastructure, or specialization in another ML field. - 1 year of experience with ML infrastructure, including model deployment, model evaluation, data processing, and debugging. About the Company: Google's Corporate Engineering team develops world-leading business solutions that aim to make Google more helpful for everyone. As Google's IT organization, they provide end-to-end solutions for organizations within Google, ensuring that Googlers have the right tools, platforms, and experiences to create more helpful products and services for users worldwide. Preferred Qualifications: - Master's degree or PhD in Computer Science or related technical fields. - Experience developing accessible technologies.,