Staff Software Engineer, ML Infrastructure, Search Agentic Growth Engine
About the role
MINIMUM 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.
PREFERRED QUALIFICATIONS:
- Master’s degree or PhD in Engineering, Computer Science, or a related
technical field.
- 8 years of experience with data structures and algorithms.
- 3 years of experience in a technical leadership role leading project teams
and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving
cross-functional, or cross-business projects.
ABOUT THE JOB:
Google's software engineers develop the next-generation technologies that change
how billions of users connect, explore, and interact with information and one
another. Our products need to handle information at massive scale, and extend
well beyond web search. We're looking for engineers who bring fresh ideas from
all areas, including information retrieval, distributed computing, large-scale
system design, networking and data storage, security, artificial intelligence,
natural language processing, UI design and mobile; the list goes on and is
growing every day. As a software engineer, you will work on a specific project
critical to Google’s needs with opportunities to switch teams and projects as
you and our fast-paced business grow and evolve. We need our engineers to be
versatile, display leadership qualities and be enthusiastic to take on new
problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and
deliverables. You will design, develop, test, deploy, maintain, and enhance
software solutions.
In Google Search, we're reimagining what it means to search for information –
any way and anywhere. To do that, we need to solve complex engineering
challenges and expand our infrastructure, while maintaining a universally
accessible and useful experience that people around the world rely on. In
joining the Search team, you'll have an opportunity to make an impact on
billions of people globally.Individual pay is determined by factors including
job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
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-end user journeys 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.
Responsibilities
- Design and build ML systems for real-time personalization, traffic pacing, model deployment, and user experience guardrails.
- Architect and build an AI agent platform to plan, experiment, and optimize user journeys across Search promotions, notifications, and email.
- Set technical direction for agentic growth systems, lead through code and design documents, and mentor junior engineers.
- Partner with Product, UX, ML research, and engineering teams to advance Search priorities.
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 large-scale infrastructure, distributed systems, networks, or compute, storage, or hardware technologies.
- 3 years of experience with software design and architecture.
- Preferred: Master's degree or PhD in a related technical field.
- Preferred: 8 years of experience with data structures and algorithms.
- Preferred: 3 years in a technical leadership role and experience setting technical direction.
Benefits
- 20% target bonus
- Equity
- Benefits package
Skills mentioned
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh
H-1B sponsorship history
Historical employer filing data was found for Google. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.