Senior AI/ML Software Engineer, Productivity Suite

Google LLC; Sunnyvale (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google Sunnyvale, CA, USA is seeking a Senior Software Engineer, AI/ML for Google Workspace. You will work on scalable AI-driven features across Gmail, Docs, Drive, and calendar products, collaborating with model builders and engineers to push AI capabilities forward.

The role emphasizes leadership, cross-functional collaboration, and the ability to design and deploy robust ML-powered solutions at massive scale for billions of users.

Qualifications

• Requires Bachelor's degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more ML areas: speech/audio, reinforcement learning, ML infrastructure, or related field.
• 3 years of experience with ML infrastructure: deployment, evaluation, optimization, data processing, debugging.

Responsibilities

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices.
• Contribute to documentation or educational content and update content with product changes and user feedback.
• Triage issues and debug/resolve impact on hardware, network, or service operations and quality.
• Design and implement solutions in ML areas, leverage ML infrastructure and show expertise in a field.

Skills

Python

C++

ML infrastructure

Speech/audio

Reinforcement learning

Education

Bachelor's degree

Master's degree or PhD in CS

Job description

Google Sunnyvale, CA, USA is seeking a Senior Software Engineer, AI/ML for Google Workspace. You will work on scalable AI-driven features across Gmail, Docs, Drive, and calendar products, collaborating with model builders and engineers to push AI capabilities forward.

The role emphasizes leadership, cross-functional collaboration, and the ability to design and deploy robust ML-powered solutions at massive scale for billions of users.