---
title: Software Engineer, AI/ML, Ads Quality at Google
description: Google is hiring for the Software Engineer, AI/ML, Ads Quality role in New York,
  NY. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/software-engineer-ai-ml-ads-quality-at-google-01a18ee8-cdd9-7ea6-8e38-c7760842b50b
date: 2026-11-15T01:26:44Z
og_description: Join Google as Software Engineer, AI/ML, Ads Quality in New York, NY. Pays $147K–$210K
  per year. Requires 1+ year of experience.
og_image: https://www.foundrole.com/og/fc44x1.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) |
| **Location** | New York, NY |
| **Salary** | $147K/yr - $210K/yr |
| **Posted** | Oct 30, 2026 |

## Is this job real?

**Ghost job check:** A- · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** Google sponsors H-1B visas. It filed 9,179 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for Google.

## Pay for similar jobs

Most similar jobs pay $208,000 – $254,000 a year (median $213,000).

## Description

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  

Learn more about [benefits at Google](https://www.google.com/about/careers/applications/benefits/).

- 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.  

### Minimum qualifications:

- Bachelor’s degree or equivalent practical experience.  
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.  
- 2 years of experience with software development with C++ programming language.
- 1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
- 1 years of experience with quantitative data analysis.

### Preferred qualifications:

- Master's degree or PhD in Computer Science or related technical fields.  
- 2 years of experience with data structures and algorithms.
- Experience developing accessible technologies.  
- Experience with auction theory and related disciplines (e.g. game theory).  

- Bachelor’s degree or equivalent practical experience.  
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.  
- 2 years of experience with software development with C++ programming language.
- 1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
- 1 years of experience with quantitative data analysis.
## Skills

- Debugging
- Quantitative Analysis
- Testability
- Code Review
- Game Theory
- Algorithms
- Model Evaluation (Machine Learning)
- Software Development
- C++
- Computer Science
- Data Structures
- Quantitative Data Analysis
- Model Optimization
- Machine Learning Model Deployment
- Machine Learning
- Data Processing

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