Senior Software Engineer, Ads Bidding ML

Company: Google

Location: New York, NY

Salary: $174,000 - $253,000 a year

Type: Full-time

Posted: 2026-07-17

About this role

### Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in C++ or Python.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years of experience with one or more of the following: sequence modeling, deep learning, natural language processing (NLP), reinforcement learning, or building machine learning models in production.

### Preferred qualifications:

  • Master's degree or PhD in Computer Science, Mathematics, or a related science or technical field.
  • 5 years of experience with data structures and algorithms.
  • 1 year of experience in a technical leadership role.
  • Experience with ads bidding, applied mathematics, operations research, or feedback loops.

## 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 and maintain Machine Learning models using AI and ML techniques to predict user interactions on Search Ads. These models are a key component in setting advertisers' bids, with the goal ...

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