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.

Our mission as the Search Notifications team is to deliver fresh, personalized and timely notifications to billions of people around the globe through the Google Search App.

We are pivoting to be an AI notification product and building the notifications platform as a true marketplace which is a self-learning reward based system that optimizes for the best notification user experience by picking among engaging "producers". Marketplace incorporates the economics including rewards and penalties for the right incentives, doing the right thing for the user (which is the consumer) and optimizing for the opportunity cost on a highly visible interrupting surface like Notifications.
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.

The US base salary range for this full-time position is $174,000-$252,000 + 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Work on full stack and build the user experience, reward modeling and the incentive structure for the Notification Marketplace.

• Own the user visible end-to-end experience including notification optimization for the tray, pre-click, post click experience.

• Quality systems and auto-raters to monitor and measure the quality of the product experience, automatically deploying safety and takedown mechanisms for bad content.

• Build the realtime systems for the economics of the marketplace to play out and build incentives and insights that all of Search can leverage for driving growth.

• Design, build and innovate on the integrated platform used for horizontal inventory indexing, user fanout and delivery across notifications and related surfaces like iGA Live Activities, Android RON, Inbox.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience with software development in C++ and Java programming languages.

• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.

• 5 years of experience with data structures and algorithms.

• 2 years of experience in Data Analysis, Experiment Design, AI Algorithms, and Monitoring Systems.

• 1 year of experience in a technical leadership role.

• Experience developing accessible technologies.