Software Engineer III, Machine Learning, Core

2 Months ago • 2-4 Years • Research & Development

Job Summary

Job Description

This Software Engineer III role in Machine Learning at Google's Core team focuses on building the foundational technologies behind Google's products. Responsibilities include writing and reviewing code, participating in design reviews, contributing to documentation, debugging and resolving system issues, and working with large-scale data and machine learning algorithms. The ideal candidate will have experience with TensorFlow, AI, deep learning, or NLP, along with strong software development skills. The role involves managing project priorities and contributing to Google's core infrastructure and systems. The team works across Google's products to build central solutions and break down technical barriers.
Must have:
  • Bachelor's degree or equivalent experience
  • 2+ years experience with ML algorithms & tools (TensorFlow)
  • 2+ years software development experience (or 1 year with advanced degree)
  • Fluency in English
  • Code writing, review, debugging
Good to have:
  • Master's/PhD in CS or related field
  • Experience with large-scale systems, data analysis, visualization
  • Experience developing accessible technologies
  • Proficiency in code and system health diagnosis and resolution
  • Software test engineering experience

Job Details


Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting, and with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing.
  • 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.
  • Ability to communicate in English fluently.

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, and/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 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 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

  • 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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