Senior Staff Software Engineer, ML Data Quality Infrastructure

Senior Staff Software Engineer, ML Data Quality Infrastructure

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. AI-data organization's mission is to build AI data systems that drive the responsible development of the best AI models and products in the world. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $248,000-$349,000 + 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.

Responsibilities:

• Build and enhance AI-data infrastructure for improving model iteration for all use-cases, while performing Individual Contributor (IC) work.
• Address challenges in model iteration workflows such as data sourcing, data sampling, evaluation automation, loss analysis.
• Build and optimize infrastructure for developing and deploying data quality signals and autoraters, including tools for prompting, large-scale inference, visualization, and evaluation.
• Address the technical challenges of the evolving field of Generative AI (GenAI), working to create solutions.
• Interact with the partner model-quality teams in CloudAI teams. Work with various partner teams in AI-data and customer teams (Google products). Drive GenAI models through focus on model capability improvements from data.

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.