Staff Software Engineer, GenAI, Data Quality

Google Cloud is seeking a Staff Software Engineer to lead their GenAI Data Quality initiatives. This role sits at the intersection of machine learning and data infrastructure, focusing on building Google-wide tooling for managing large-scale human-generated datasets used in GenAI and LLM development. The position involves working with cutting-edge AI technologies, including Gemini models, and requires expertise in both software engineering and machine learning systems.

The role is part of the ML, Systems, & Cloud AI (MSCA) organization, which is responsible for the infrastructure powering Google's core services and Cloud offerings. You'll be working on critical projects that impact billions of users worldwide, from developing tooling for ML data needs to improving data collection quality for GenAI model training.

As a Staff Engineer, you'll provide technical leadership to the Crowd and Data Platform team, working on company priorities to enhance tooling around Machine Learning data needs for GenAI/LLM use cases. You'll collaborate with various teams including Data Science, Product, UX Research, Infrastructure, and Operations to ensure high-quality data collection and processing.

The position offers competitive compensation ($197,000-$291,000 base salary) plus bonus, equity, and comprehensive benefits. This is an excellent opportunity for experienced engineers passionate about AI/ML who want to make a significant impact on the future of machine learning technology at one of the world's leading tech companies.