Software Engineer III, AI/ML, Page Quality

Minimum qualifications:

• 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.
• 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience with Python and C++.

Preferred qualifications:

• 2 years of experience with data structures or algorithms.
• Experience in full-cycle development and productionization of Machine Learning systems.
• Experience in distilling and deploying production-grade LLMs.
• Experience with Kotlin.

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.

The Page Quality team's mission is to build user trust by ensuring Google delivers the highest quality, most reliable information and safeguards users from misinformation. We achieve this by owning the full ML life-cycle, from developing models that predict trustworthiness to deploying them directly across Web Ranking, GenAI input retrieval and grounding.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

• Own projects from initial ideas to design, analysis, and implementation.
• Collect, analyse 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .