Senior Software Engineer, Ai/ml, Ads Bidding

Senior Software Engineer

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 are 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 and maintain machine learning models using AI and ML techniques to predict user interactions on Search Ads. These models are key in setting advertisers' bids, with the goal of improving both satisfaction and Return on Investment (ROI) for Search Ads advertisers using Auto-bidding products. By optimizing towards advertisers' objectives, Auto-bidding products drive Google's global Ads business. In this role, you will be involved in the full machine learning model lifecycle, from design and training to deployment and serving models in production at the scale of Search Ads. You will innovate while collaborating with other teams, including research, to test and implement the latest technologies in our models. Additionally, you'll also be involved at high level infrastructure that supports serving these models at scale.

Responsibilities include:

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.
• Work on improving and simplifying models through advanced machine learning techniques.
• Innovate and iterate on machine learning model design, improving quality, stability, and efficiency across the entire model lifecycle—from concept to deployment.
• Solve complex machine learning related problems by designing, running, and analyzing experiments using analytical and statistical methods.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, criminal histories consistent with legal requirements, or any other basis protected by law.