Senior AI/ML Engineer, Workspace Platform

Google LLC; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Sunnyvale, CA, USA is seeking a Staff Software Engineer for Google Workspace, AI/ML to lead design and delivery of large-scale ML features across Gmail, Docs, and Workspace. You will own architecture, mentor teams, and drive end-to-end delivery with emphasis on model deployment, data processing, evaluation, and security.

In-person interviews are common. Required 8 years in software development, 5 years leading ML design, 5 years testing and launching software products, and 3 years in

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience leading Machine Learning design and optimizing ML infrastructure.
• 5 years of experience testing and launching software products.
• 3 years of experience with software design and architecture.

Responsibilities

• Work on next generation batch processing infrastructure for Gmail in powering new user experiences.
• Work on Workspace wide convergence projects to bolster security and trust posture across the board.
• Work on processing and security technologies to shape the secure data consumption for Gmail and overall workspace.
• Identify and solve full stack issues with in-depth collaboration with core infrastructure teams toward next-generation batch processing and data validation initiatives.
• Define best practices to measure, monitor and improve data security and compliance for Gmail and chat to meet our trust and compliance requirements.

Skills

Software development

ML design

Model deployment

Technical leadership

Cross-functional collaboration

Education

Bachelor's degree or equivalent practical experience

Job description

Google Sunnyvale, CA, USA is seeking a Staff Software Engineer for Google Workspace, AI/ML to lead design and delivery of large-scale ML features across Gmail, Docs, and Workspace. You will own architecture, mentor teams, and drive end-to-end delivery with emphasis on model deployment, data processing, evaluation, and security.

In-person interviews are common. Required 8 years in software development, 5 years leading ML design, 5 years testing and launching software products, and 3 years in