Software Engineer III, AI/ML, Search Ads

Google; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google in Mountain View is seeking a Software Engineer to help advance AI-powered advertising and information retrieval at scale. You will work on projects spanning distributed systems, ML infrastructure, and self-service platforms with exposure to Gemini and other GenAI models.

You'll collaborate across teams, contribute to code reviews, and help deploy and optimize models while building reliable, scalable solutions for billions of users worldwide.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of software development experience in C++, Java, and using LLM coding tools.
• 1 year of experience with end-to-end ML (model deployment, model evaluation, data processing, debugging).
• 1 year of experience with Gen AI/LLM tools, RL, ML infrastructure, or related ML field.

Responsibilities

• Write product or system development code.
• 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).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Skills

C++

Java

LLM tools

ML infrastructure

Gen AI

Education

Bachelor's degree

Master's or PhD in CS

Tools

Search/Ads stack

Self-service platforms

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in C++, Java, and using LLM coding tools.
• 1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
• 1 year of experience with one or more of the following: Gen AI/LLM tools, reinforcement learning (e.g., sequential decision making), Machine Learning (ML) infrastructure, or specialization in another ML field.

Preferred qualifications:

• Master's degree or PhD in Computer Science, or in a related technical field.
• Experience with the latest research and trends in AI/ML.
• Experience designing and building scalable fullstack systems and self-service platforms.
• Knowledge of search/Ads stack.
• Excellent analytical thinking and data analysis skills.

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.

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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Write product or system development code.
• 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).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .