Staff Software Engineer, Ads Personalization, User Modeling Infrastructure

Minimum qualifications:

• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or with compute technologies, storage, or hardware architecture.
• 3 years of experience in a technical leadership role overseeing projects.

Preferred qualifications:

• Experience building end-to-end solutions either in an infrastructure or product-based team.
• Experience building and testing highly-scalable distributed systems or low-latency/streaming batch systems.
• Experience collaborating with cross-functional teams in a global organization and managing stakeholders.
• Proven track record of ownership and execution across highly-visible projects.

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.

Personalization and User Modeling Infrastructure is a full end-to-end user modeling platform used by all ads serving systems impacting in business generation. The user profiles and features generated through this infrastructure, by thousands of profilers built by various clients, feed directly into Ad serving for personalization, model training and model serving. Improving Ads personalization and relevance is one of the highest priority work streams across YT Ads, Discover, Gmail, Search Ads and Display Ads. We are working on developing the next generation of user modeling platforms to be used by all Ads teams. This infrastructure will enable hyper reactive ad serving, particularly across all our query-less ad serving systems.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

The US base salary range for this full-time position is $197,000-$291,000 + 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

• Partner with other executive leads across the organization (e.g., YouTube Ads, Discover, Gmail, etc.) to execute the ambitious personalization roadmap.
• Participate in the evaluation, scoping, and execution of high-impact, time-sensitive projects.
• Contribute to technical work, including design and coding.
• Identify and propose simple, maintainable solutions for ambiguous, subtle, or complex technical problems.
• Provide direct technical leadership to various junior-level software engineers within the team.