Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 2 years of experience writing code in Kotlin or Java.
  
• Experience in Machine Learning or Artificial Intelligence.
• Experience in mobile application development or Android framework development.
  

Preferred qualifications:

• Experience in coding with Python.
  

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products-from apps to TVs, from laptops to phones-that have an impact on people's lives across the world.

Responsibilities

• Build automation frameworks and components for Android.
• Collaborate with product teams inPartners and Devices Forum to adopt new AI technologies.
• Develop, evaluate and integrate Machine Learning (ML) models into existing projects and exploratory projects.