Staff ML Infrastructure Engineer, Agentic Growth

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

Job summary

Google LLC in Mountain View, CA is seeking a Staff Software Engineer specializing in ML infrastructure for the Search Agentic Growth Engine. You will own critical components, design scalable systems, and lead cross-functional efforts across product and research teams.

The role requires deep experience with large-scale, distributed systems and a proven ability to drive technical direction. Google offers substantial compensation with base pay and bonus opportunities.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++, Go, or Java.
• 5 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 3 years of experience with software design and architecture.

Responsibilities

• Design and build the ML systems that power real-time promo personalization, automated traffic pacing, continuous model deployment and automated user experience guardrails at Search scale.
• Architect and build Seaport's next-generation AI agent platform to autonomously plan, experiment, and optimize end-to-1 agentic growth systems across Search promo, notifications, and email.
• Lead through code and design docs while setting the technical direction for ambiguous 0-to-1 agentic growth systems. Mentor junior engineers on the team.
• Partner closely with Product, UX, ML researchers, and adjacent engineering teams to accelerate adoption of flagship Search priorities, including AI Mode, Personal Intelligence, iGA, Sign-in, and Search Subscriptions.

Skills

C++/Go/Java

Education

Bachelor's degree or equivalent

Job description

Google LLC in Mountain View, CA is seeking a Staff Software Engineer specializing in ML infrastructure for the Search Agentic Growth Engine. You will own critical components, design scalable systems, and lead cross-functional efforts across product and research teams.

The role requires deep experience with large-scale, distributed systems and a proven ability to drive technical direction. Google offers substantial compensation with base pay and bonus opportunities.