Software Developer III, Machine Learning, Google Cloud AI

2 Months ago • 2-4 Years • Artificial Intelligence

Job Summary

Job Description

Google seeks a Software Developer III specializing in Machine Learning and Google Cloud AI in Waterloo, ON, Canada. Responsibilities include writing product/system development code, participating in design reviews, code reviews, contributing to documentation, issue triage and debugging. The ideal candidate possesses 2+ years of software development experience (or 1 year with an advanced degree), 2+ years of experience with data structures/algorithms, and 2+ years of experience with machine learning algorithms and tools (e.g., TensorFlow). The role involves managing project priorities, deadlines, and deliverables, and enhancing software solutions across the full stack.
Must have:
  • Bachelor's degree or equivalent experience
  • 2+ years software development experience
  • 2+ years experience with data structures/algorithms
  • 2+ years experience with ML algorithms & tools (TensorFlow)
  • Code development, review, and debugging
  • Project management & delivery
Good to have:
  • Master's/PhD in Computer Science
  • Experience with large-scale systems
  • Experience developing accessible technologies
  • Proficiency in code/system health diagnosis

Job Details

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 in an industry setting.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
  • Experience developing accessible technologies.
  • Proficiency in code and system health, diagnosis and resolution, and software test engineering.

About the job

Google's software developers 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 software developers 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 developer, 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 software developers 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.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Write product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • 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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