Software Engineer III, Full Stack, Applied AI

4 Months ago • 2-4 Years
Full Stack Development

Job Description

This Software Engineer III role focuses on integrating AI/ML solutions into Android, Chromium, and ChromeOS development workflows. Responsibilities include building AI tools to enhance code generation, code review, and testing. The position requires full-stack development experience (Java, Python, Golang, C++, JavaScript, TypeScript, HTML, CSS) and experience with data structures, algorithms, and AI/ML model evaluation. The ideal candidate will collaborate with CoreDev AI and DeepMind teams, developing UI components and data pipelines to support AI-powered developer tools. The goal is to significantly improve developer productivity using AI technologies.
Good To Have:
  • Experience building developer tools
  • Data science/statistical methods experience
  • Android or Chrome development workflow experience
  • Experience with Git ecosystem (Gerrit/GoB)
  • Open source project experience
  • AI/ML powered feature development and productization
Must Have:
  • Full-stack development experience (Java, Python, Golang, C++, JavaScript, TypeScript, HTML, CSS)
  • 2+ years experience with data structures or algorithms
  • Experience building AI/ML solutions
  • Experience with model evaluation and metric tracking
  • Develop and integrate UI components

Add these skills to join the top 1% applicants for this job

java
html
javascript
css
typescript
algorithms
back-end
github
data-structures
front-end
python
git
data-science
networking
user-interface

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 data structures or algorithms.
  • 2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.

Preferred qualifications:

  • 2 years of experience building developer tools (e.g., compilers, automated releases, code design and testing, test automation frameworks).
  • Experience using data science or statistical methods to derive insights and solve problems.
  • Experience with Android or Chrome development workflows.
  • Experience working across the Git ecosystem internally (Gerrit/GoB).
  • Experience working on open source projects and in open source ecosystems (GitHub).
  • Experience with AI/ML powered feature development and productization.

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 be driving efforts to radically improve productivity of developers working on Android, Chromium, ChromeOS based workflows, using AI technologies, partnering with CoreDev AI and DeepMind teams. Our team is looking to use AI to speed up code generation, accelerate Code Review, and reduce our costs on testing and trialing.

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 Artificial Intelligence (AI)/Machine Learning (ML) solutions and tools into development workflows and platforms.
  • Evaluate AI models by designing and utilizing 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.
  • Contribute to the development of tools and infrastructure that lower the barrier to entry for AI/ML development within the organisation.

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