Software Engineer II, Applied AI

2 Weeks ago • 1 Years + • Artificial Intelligence • Full Stack Development

Job Summary

Job Description

As a Software Engineer II, Applied AI at Google, you'll integrate AI/ML solutions into development workflows for Android, Chromium, and ChromeOS. Responsibilities include building backend services and APIs for AI-powered features, evaluating AI models, developing UI components, and working with data pipelines. You'll collaborate with CoreDev AI and DeepMind teams to improve developer productivity through AI-driven code generation, code review acceleration, and cost reduction in testing and triaging. This role requires experience with software development (Python, C++, Java, JavaScript etc.), data structures/algorithms, and full-stack development. Experience with AI/ML, LLMs, and production-grade LLM applications is preferred.
Must have:
  • Bachelor's degree or equivalent experience
  • 1+ years software development experience
  • 1+ years data structures/algorithms experience
  • 1+ years full-stack development experience
  • Build AI/ML solutions
  • Design and maintain backend services and APIs
Good to have:
  • Data science/statistical methods experience
  • AI/ML feature development & productization experience
  • LLM technology and application experience

Job Details

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  • 1 year of experience with data structures or algorithms.
  • 1 year of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.

Preferred qualifications:

  • Experience using data science or statistical methods to derive insights and solve problems.
  • Experience with AI/ML-powered feature development and productisation.
  • Experience with Large Language Model (LLM) technologies, and in production grade LLM-based applications.

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.

In this role, you will drive efforts to radically improve productivity of developers work on Android, Chromium, ChromeOS based workflows, using Artificial Intelligence (AI) technologies, partner with CoreDev AI and DeepMind teams. You will use AI to speed up code generation, accelerate Code Review, and reduce costs on testing and triaging.

Android is Google’s open-source mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.

Responsibilities

  • Build AI/ML solutions and tools into development workflows and platforms.
  • Design, build, and maintain backend services and Application programming interfaces (API) to support AI-powered features.
  • Evaluate AI models by designing and utilising custom evaluation sets focused on quality, coherence, and safety assessment.
  • Develop and integrate UI components to surface AI insights and suggestions within developer tools.
  • Work with data pipelines to collect, process, and analyse data for model evaluation and metric tracking.

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About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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