Staff Software Engineer, Core Machine Learning, Google Cloud

5 Months ago • 8-13 Years • Artificial Intelligence • $189,000 PA - $284,000 PA

Job Summary

Job Description

As a Staff Software Engineer in Google's Core Machine Learning organization, you'll be at the forefront of developing cutting-edge ML technologies that power Google's products and services. You'll work on critical projects, collaborate with top engineers, and contribute to a world-class ML infrastructure. Responsibilities include writing and reviewing code, participating in design reviews, debugging and resolving issues, and contributing to documentation. The Core ML organization focuses on driving ML excellence for Google and the world, building a cohesive path for ML development within Google. Google Cloud, a key component of Google's offerings, accelerates digital transformation for businesses with enterprise-grade solutions powered by Google's leading technology. The organization strives to empower businesses to grow and solve critical problems.
Must have:
  • Bachelor's degree or equivalent
  • 8 years of software development experience
  • Data structures/algorithms expertise
  • 5 years of experience testing and launching software
  • 3 years of software design and architecture experience
  • 5 years of experience with ML algorithms and tools (TensorFlow)
  • Experience with AI, deep learning, or NLP
Good to have:
  • Master's degree or PhD in Engineering, Computer Science, or related field
  • 3 years of experience in technical leadership
  • 3 years of experience in complex, matrixed organizations
  • Experience with cross-functional or cross-business projects

Job Details


Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development, and with data structures/algorithms.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 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 Engineering, Computer Science, or a related technical field.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

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 ML Organization drives ML Excellence for Google and the World. The Core ML organization is responsible for creating a cohesive, well lit path for machine learning at Google. The organization is also responsible for developing ML infrastructure and execution around key ML efforts within Google.

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.

The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

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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