Software Engineer, Machine Learning, Core

undefined ago • 2 Years + • Research Development • $141,000 PA - $202,000 PA

Job Summary

Job Description

Google's software engineers develop next-generation technologies for billions of users, handling information at massive scale across various domains like information retrieval, distributed computing, AI, and natural language processing. This role involves working on critical projects, with opportunities to switch teams. Engineers need to be versatile, demonstrate leadership, and enthusiastically tackle new problems across the full-stack. The Core team builds the technical foundation for Google's flagship products, impacting design elements, developer platforms, and infrastructure, driving innovation and strengthening existing systems across the company.
Must have:
  • Participate in or lead design reviews with peers and stakeholders
  • Write product or system development code
  • Review code developed by other developers and provide feedback
  • Contribute to existing documentation or educational content
  • Triage product or system issues and debug/track/resolve
Good to have:
  • Master's degree or PhD in Computer Science or related technical fields
  • Experience developing accessible technologies
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, and with data structures or algorithms.
  • 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
  • 2 years of experience with computer architecture, performance analysis, and performance modeling.
  • Experience in Machine Learning or Artificial Intelligence.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience developing accessible technologies.

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.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Write product or system development code.
  • Review code developed by other developers and provide feedback to ensure best practices (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.

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