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.

In this role, you will design, train, deploy, and serve models that operate at a massive scale, directly impacting billions of ads on Google Search. You will have the opportunity to innovate and collaborate with research teams to implement technologies.

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 $147,000-$211,000 + 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

• Enhance and simplify the machine learning models that are crucial to billions in Google Ads business.

• Drive improvements in quality, stability, and efficiency across all stages of model development, from initial concept to global deployment.

• Design and execute experiments using sophisticated statistical methods to solve machine learning issues.

• Enhance code health and develop automation processes.

• Refine alerting systems to guarantee model stability and peak performance.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience programming in Python or C++.

• 1 year of experience with one or more of the following: sequence modeling, deep learning, natural language processing (NLP), reinforcement learning, or building machine learning models in production.

Preferred qualifications

• Master’s degree or PhD in Computer Science, or a related technical field.

• 2 years of experience with data structures and algorithms.

• Experience in applied mathematics or statistical analysis.

• Experience working with Ads.