> Markdown version of [/jobs/ext/1975848-software-engineer-iii-ai-ml-google-fi](https://www.wearedevelopers.com/jobs/ext/1975848-software-engineer-iii-ai-ml-google-fi). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer III, AI/ML, Google Fi - **Company:** Google LLC - **Location:** Mountain View, CA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Debugging, Systems Development Life Cycle, Software Engineering, Reinforcement Learning, Data Processing, Production Code, Machine Learning Operations - **Published:** August 7, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/software-engineer-iii-ai-ml-google-fi-mountain-view-ca-usa-58831601 ## About the Role Experteer Overview In this role you will build software that powers Google Fi, a global mobile connectivity service. You'll contribute to AI-enabled features and large-scale systems that support millions of subscribers. You will collaborate with cross-functional teams to ship reliable code, improve ML workflows, and optimize data processing. This is a fast-paced, impact-driven opportunity to shape how users stay connected and leverage AI across products. Compensation / Benefits * Write product or system development code * Collaborate with peers and stakeholders through design and code reviews to ensure best practices * Contribute to documentation and educational content and adapt it to updates * Triage issues and debug/resolve impact on hardware, network, or service operations * Implement solutions in specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing Tasks * Bachelor's degree or equivalent practical experience * 2 years of aa ensure development experience or 1 year with an advanced degree * 1 year of experience with speech/audio, reinforcement learning, or another ML field * 1 year of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging) Key requirements * 15% bonus target * equity * benefits at Google * opportunity to work on AI-focused initiatives ## Description Experteer Overview In this role you will build software that powers Google Fi, a global mobile connectivity service. You'll contribute to AI-enabled features and large-scale systems that support millions of subscribers. You will collaborate with cross-functional teams to ship reliable code, improve ML workflows, and optimize data processing. This is a fast-paced, impact-driven opportunity to shape how users stay connected and leverage AI across products. Compensation / Benefits * Write product or system development code * Collaborate with peers and stakeholders through design and code reviews to ensure best practices * Contribute to documentation and educational content and adapt it to updates * Triage issues and debug/resolve impact on hardware, network, or service operations * Implement solutions in specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing Tasks * Bachelor's degree or equivalent practical experience * 2 years of software development experience or 1 year with an advanced degree * 1 year of experience with speech/audio, reinforcement learning, or another ML field * 1 year of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging) Key requirements * 15% bonus target * equity * benefits at Google * opportunity to work on AI-focused initiatives ## Related Videos - [You are not an AI developer](https://www.wearedevelopers.com/videos/1148-you-are-not-an-ai-developer) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [Designing the Future of Human<>Agent Collaboration](https://www.wearedevelopers.com/videos/1447-designing-the-future-of-human-agent-collaboration) - [What I learned as a developer from accidents in space](https://www.wearedevelopers.com/videos/642-what-i-learned-as-a-developer-from-accidents-in-space) - [Future of Mobile AI. What On-Device Intelligence Means for App Developers](https://www.wearedevelopers.com/videos/100264-future-of-mobile-ai-what-on-device-intelligence-means-for-app-developers) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)