Software Engineer ll, AI/ML Tools

Minimum Qualifications:

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

Preferred Qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience with GenAI concepts (e.g., Large Language Models, Multi-Modal).

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Responsibilities

• Assist in developing, maintaining, and monitoring data pipelines that process data from sources like codebases, docs, logs, test artifacts, manual test data, and bugs.
• Perform analysis on test execution data and bug reports to identify trends and patterns. Contribute to defining, calculating, and tracking key performance indicators for the AI testing system.
• Contribute to the back-end services that support data processing, storage, and retrieval for analysis and AI agent operation.
• Implement scripts and checks to help ensure the quality and reliability of data used for analysis and AI model training.
• Work with the team to understand requirements, implement features across the stack, and support the continuous improvement of AI agents and testing strategies, under the guidance of team members.