Distinguished Engineer, Workspace AI

Global technology company specializing in internet-related services and products, including search, cloud computing, software, and hardware.
$323,000 - $465,000
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
15+ years of experience
AI · Enterprise SaaS

Description For Distinguished Engineer, Workspace AI

Google's Workspace Intelligence team is seeking a Distinguished Engineer to lead their AI initiatives across their suite of productivity tools including Meet, Chat, Gmail, Drive, and Docs. This role sits at the intersection of cutting-edge AI technology and practical business applications, focusing on delivering ML-based features that enhance user productivity. The position requires a technical visionary who can architect systems that power AI features throughout Workspace products while maintaining high quality and meeting data governance requirements.

The role involves working with Google's machine learning experts and researchers to implement state-of-the-art technology, while managing cross-functional execution across multiple products. The ideal candidate will provide technical guidance to thousands of engineers and work closely with Product Engineers across Workspace.

This is a unique opportunity to shape the future of how people work, implementing features like Help me Write, Smart Compose, and auto-captioning in Meet. The team envisions a future where content generation is effortless, organization is automated, and meeting documentation is seamless.

The position offers a competitive compensation package including a base salary range of $323,000-$465,000, plus bonus, equity, and comprehensive benefits. The role requires deep expertise in AI/ML, particularly in generative AI and LLMs, with 15 years of software engineering experience or 13 years with an advanced degree.

As a Distinguished Engineer, you'll be responsible for technical architecture, infrastructure development, and establishing processes that enable rapid deployment of high-impact ML features. This role combines technical leadership with strategic thinking, requiring both deep technical expertise and the ability to drive innovation at scale.

Last updated a month ago

Responsibilities For Distinguished Engineer, Workspace AI

  • Lead the technical long-term strategy for Workspace AI while working directly to deliver infrastructure, tools, processes, and features
  • Build deep partnerships across Google and incorporate the best technology for Workspace AI with awareness of research and industry trends
  • Support our technical teams in delivering our roadmap on committed timelines
  • Identify high-value areas for investment and build execution paths to bring them to market

Requirements For Distinguished Engineer, Workspace AI

Python
Java
Kubernetes
  • Bachelor's degree in Computer Science, or similar technical field of study, or equivalent practical experience
  • 15 years of experience in software engineering or 13 years with an advanced degree
  • Experience in AI and machine learning, including generative AI and LLMs
  • Experience in evaluating and improving quality for generative AI models
  • Experience driving the technical direction and building confidence in the team and the team's work

Benefits For Distinguished Engineer, Workspace AI

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
  • Comprehensive medical, dental, and vision insurance
  • 401k plan
  • Equity compensation
  • Bonus compensation

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