Staff Software Engineer, Backend systems, Applied AI/ML

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience testing, and launching software products.
  
• 3 years of experience with software design and architecture.
• Experience developing software applications using Python.
• Experience in the Java programming language.

Preferred qualifications:

• Experience in solving real-world problems by applying Machine Learning (ML) or generative Artificial Intelligence (AI) in production applications.
• Experience caring about users and the product experience while partnering with the product team to drive product direction.
• Ability to own, set, and drive Objectives and Key Results (OKRs) for multiple projects.
• Passionate about data and making data-driven decisions.

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.

We build Connect Sales, the "Operating system" for Ads sellers and businesses at Google. We are responsible for mastering the raw foundational data to run the business, enabling Sales strategy and business evolution, and providing support and tooling across all seller workflows.

Within Connect Sales, the Sales Intelligence team develops a suite of high-impact analytical products. Our products not only help global sellers win more business for Google, but also enable global advertisers to succeed in their business.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.

Responsibilities

• Influence and coach a distributed team of engineers.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
• Benchmark advertiser’s brand awareness using search ads data and build insights and recommendations in collaboration with Youtube Ads. Work on projects such as brand reconciliation.
• Transform the search benchmarking landscape by combining audience-based data with business specific dimensions. Help unlock insights that utilize both datasets such as multi-language creative improvement.