Senior Staff Software Engineer, AI/ML, Google Workspace
About The Position
Google is seeking a Senior Staff Software Engineer to work on AI/ML initiatives for Google Workspace products, including Gmail, Docs, Drive, Calendar, Sheets, Vids, and Meet. The role offers the opportunity to shape how productivity tools work in the future and to build AI experiences that can affect billions of users. The engineer will collaborate with model builders at Google DeepMind and work across specialized machine-learning areas. Google software engineers develop technologies used at massive scale across a broad range of fields. This position involves designing and building large-scale software and machine-learning solutions, providing technical leadership, and aligning teams around project goals and delivery. Individual pay is based on job-related skills, experience, and relevant education or training. The listed U.S. compensation is $262,000–$364,000, plus a 25% bonus target, equity, and benefits.
Requirements
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale end-to-end machine learning, including areas such as model deployment, model evaluation, data processing, and debugging.
- 5 years of experience with design and architecture, and testing and launching software products.
- 5 years of experience in speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
Nice To Haves
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in an organization involving cross-functional or cross-business projects.
Responsibilities
- Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
- Provide technical leadership on high-impact projects and manage project priorities, deadlines, and deliverables.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
- Influence and coach a distributed team of engineers.
- Drive technical project strategy and lead large-scale ML infrastructure optimization.
- Oversee the design and implementation of solutions across multiple specialized ML areas.
Benefits
- 25% bonus target
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
