Senior Software Engineer, Search Quality

Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products handle information at massive scale and extend well beyond web search. The Web Health team's mission is to build user trust by ensuring Google shows a helpful mix of websites across all Search traffic, owning the full ML lifecycle from developing state-of-the-art models to deploying them across Web Ranking and GenAI surfaces. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

• Own projects end-to-end from initial idea to design, analysis, and implementation.
• Collect, analyze and visualize data from various sources to formulate and test hypotheses.
• Design and implement ML systems from training data composition to hyperparameter tuning to post-deployment monitoring and optimizations.
• Understand and build upon latest technologies such as Gemini foundational models using distillation and fine-tuning.

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in C++ or Python.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience specializing in a machine learning field (e.g., foundational models, ML infrastructure, reinforcement learning, or similar areas).
• 3 years of experience with end-to-end machine learning (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• PhD (or industry research experience) in ML, AI or related technical fields (preferred).
• Experience in full-cycle development and productionization of machine learning systems (preferred).
• Experience in distilling and deploying production-grade LLMs (preferred).
• Experience programming in Kotlin (preferred).

Google develops technologies that change how billions of users connect, explore, and interact with information. The company handles information at massive scale and is committed to maintaining a universally accessible and useful experience for people around the world.

The Web Health team ensures Google shows a helpful mix of websites across all Search traffic, owning the full ML lifecycle from model development to deployment. Team members have opportunities to switch teams and projects as the business grows and evolves.