AI/ML Software Engineer – Ads Quality & GenAI Focus

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

Job summary

Google is hiring software engineers to build next-generation systems that scale to billions of users. You will work across AI, information retrieval, distributed computing, and large-scale design while collaborating with Google Research and DeepMind to push technology forward.

Google Ads leverages cutting-edge ML and Generative AI, including Gemini, to power a multi-billion-dollar global business. The role emphasizes solving problems at an unparalleled scale and contributing to advertising

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with one or more general purpose programming languages including but not limited to: C/C++, Python, or Java.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with one or more of the following: ML modeling, ML infrastructure, or specialization in another 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/C++

Python

Java

ML infrastructure

ML modeling

Education

Bachelor’s degree or equivalent practical experience

Job description

Google is hiring software engineers to build next-generation systems that scale to billions of users. You will work across AI, information retrieval, distributed computing, and large-scale design while collaborating with Google Research and DeepMind to push technology forward.

Google Ads leverages cutting-edge ML and Generative AI, including Gemini, to power a multi-billion-dollar global business. The role emphasizes solving problems at an unparalleled scale and contributing to advertising