Senior AI/ML Software Engineer, Cloud-Scale Systems

Google; United States; On-site; USD 174,000 - 253,000; Full time

Job summary

Google is seeking a Senior Software Engineer for AI/ML in Google Cloud. The role emphasizes Python/C++ development, ML infrastructure expertise, and collaboration across teams to build scalable AI systems.

In-person interviews are typical, with preferred locations Sunnyvale, CA or Mountain View, CA for on-site work. Responsibilities include designing robust software, reviewing code, updating documentation, triaging issues, and delivering ML-enabled features using advanced infrastructure.

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: Speech/audio, reinforcement learning, ML infrastructure, or another ML field.
• 3 years of experience with ML infrastructure (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 updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing sources and impact on systems.
• Design and implement solutions in one or more ML areas, leverage ML infrastructure and demonstrate expertise.

Skills

Python

C++

Software design

ML concepts

Maintaining code

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in CS or related field

Tools

ML infrastructure

Model deployment

Data processing

Job description

Google is seeking a Senior Software Engineer for AI/ML in Google Cloud. The role emphasizes Python/C++ development, ML infrastructure expertise, and collaboration across teams to build scalable AI systems.

In-person interviews are typical, with preferred locations Sunnyvale, CA or Mountain View, CA for on-site work. Responsibilities include designing robust software, reviewing code, updating documentation, triaging issues, and delivering ML-enabled features using advanced infrastructure.