Staff Software Engineer, Core Machine Learning, Google Cloud

1 Month ago • 8-13 Years • Artificial Intelligence • $197,000 PA - $291,000 PA

Job Summary

Job Description

Google Cloud seeks a Staff Software Engineer for its Core Machine Learning team. This role requires 8+ years of software development experience, including expertise in data structures/algorithms, testing, launching software products, and software design/architecture. Strong machine learning skills (TensorFlow, AI, deep learning, NLP) are essential. Responsibilities include writing code, participating in design reviews, code reviews, contributing to documentation, and troubleshooting system issues. The ideal candidate will have leadership experience in a complex organization and a passion for pushing technological boundaries. The team drives ML excellence for Google and the world, developing key ML infrastructure.
Must have:
  • 8+ years software development experience
  • Data structures & algorithms expertise
  • Experience with ML algorithms (TensorFlow)
  • Software design & architecture experience
  • Testing and product launch experience
Good to have:
  • Master's/PhD in relevant field
  • Technical leadership experience
  • Experience in a complex, matrixed organization
Perks:
  • Bonus
  • Equity
  • Benefits

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.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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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