Senior AI/ML Software Engineer – Global Impact

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

Benefits offered by this job

Equity

Benefits

Job summary

Google LLC is seeking a Senior Software Engineer focused on AI/ML for Google Workspace. The role involves building scalable AI-powered features and collaborating across teams to ship impactful products for billions of users.

You will contribute to model deployment, evaluation, and optimization within a fast-paced environment. The position requires strong software engineering fundamentals, deep ML knowledge, and a track record of end-to-end ML work.

Qualifications

• 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, RL, ML infra, or a related field.
• 3 years of experience with end-to-end ML: model deployment, evaluation, 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 existing documentation or educational content and adapt content based on product updates.
• Triage product or system issues and debug/track/resolve issues impacting hardware, network, or service operations.
• Design and implement ML solutions, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Skills

Python

C++

Testing

ML infrastructure

Education

Bachelor's degree or equivalent practical experience

Job description

Google LLC is seeking a Senior Software Engineer focused on AI/ML for Google Workspace. The role involves building scalable AI-powered features and collaborating across teams to ship impactful products for billions of users.

You will contribute to model deployment, evaluation, and optimization within a fast-paced environment. The position requires strong software engineering fundamentals, deep ML knowledge, and a track record of end-to-end ML work.