Senior Software Engineer, Agentic Automations, Connect Sales AI, Google Ads

Google•Mountain View, CA

3d•$174,000 - $252,000

About The Position

Google software engineers develop technologies that change how people connect, explore, and interact with information. Engineers work on projects critical to Google’s needs and may move between teams and projects as the business evolves. The role calls for versatility, leadership, and a willingness to take on problems across the full stack. The engineer manages project priorities, deadlines, and deliverables, and designs, develops, tests, deploys, maintains, and enhances software solutions. Within Google Ads, the role focuses on agentic automations and Connect Sales AI. Google Ads applies machine learning and generative AI, including Gemini, to support its global business. The work aims to protect users from harm, improve ad quality, and optimize campaigns for advertiser return on investment. The engineer will boost Google Ads sellers’ productivity and impact through generative AI solutions, and contribute to building the next generation of advertising technology in collaboration with cross-functional teams and partners such as Google Research and DeepMind.

Requirements

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience with end-to-end machine learning, such as model deployment, model evaluation, data processing, and debugging.
3 years of experience in one or more of the following: speech/audio, reinforcement learning, machine learning infrastructure, or specialization in another machine learning field.
Experience utilizing agentic AI frameworks or developer kits to build and deploy autonomous AI systems.
Experience working with generative AI technologies, such as leveraging large language models in application development.

Nice To Haves

Experience applying generative artificial intelligence in production applications and solving real-world problems.
Experience with Google Ads systems.
Experience with the full life cycle of software and artificial intelligence application development.
Experience making data-driven decisions to solve technical problems.
Ability to guide teams to iterate quickly through changing technologies and user expectations.
Ability to adapt to changes and make decisions to drive progress.

Responsibilities

Set the team’s technical direction in collaboration with cross-functional partners and peer teams.
Boost Google Ads sellers’ productivity and impact through generative AI solutions.
Work within changing, cross-functional teams to deliver engineering results.
Design and implement solutions in one or more specialized machine learning areas, leverage machine learning infrastructure, and demonstrate expertise in a chosen field.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices, including style guidelines, code check-in, accuracy, testability, and efficiency.
Manage project priorities, deadlines, and deliverables.
Design, develop, test, deploy, maintain, and enhance software solutions.