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

About the role

MINIMUM QUALIFICATIONS:

• 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 (e.g., model

deployment, model evaluation, data processing, debugging).

• 3 years of experience with one or more of the following: speech/audio (e.g.,

technology duplicating and responding to the human voice), reinforcement

learning (e.g., sequential decision making), ML infrastructure, or

specialization in another ML field.

• Experience utilizing Agentic AI frameworks or developer kits to build and

deploy autonomous AI systems.

• Experience working with Generative AI technologies (e.g., leveraging Large

Language Models (LLMs) in application development).

PREFERRED QUALIFICATIONS:

• 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.

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.

With your technical expertise you will manage project priorities, deadlines, and

deliverables. You will design, develop, test, deploy, maintain, and enhance

software solutions.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine

learning and Generative AI models like Gemini to power a multi-billion dollar

global business.

Our work directly impacts billions of users by protecting users from harm,

improving ad quality, and optimizing campaigns for advertiser

return-on-investment. We foster a culture of deep collaboration, partnering

closely with teams like Google Research and DeepMind to solve complex

challenges. Join us to work on state-of-the-art AI, take on problems at an

unparalleled scale, and build the next generation of advertising technology.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Set the technical direction for the team by collaborating with

cross-functional partners and peer teams.

• Boost Google Ads sellers' productivity and impact through GenAI solutions.
• Work within changing, cross-functional teams to deliver engineering results.
• Design and implement solutions in one or more specialized ML areas, leverage

ML infrastructure, and demonstrate expertise in a chosen field.

• Collaborate with peers and stakeholders through design and code reviews to

ensure best practices amongst available technologies (e.g., style guidelines,

checking code in, accuracy, testability, and efficiency.).