Staff Software Engineer, AI/ML Quality, Shopping Agent, Cloud Applied AI

Google•Kirkland, WA

4d•$207,000 - $300,000

About The Position

Google is hiring a software engineer to help drive the quality of the Shopping Agent, a multimodal retail concierge built with Gemini Enterprise for Customer Experience. The agent is intended to support complex reasoning, virtual try-on, and sales and customer support. The role focuses on quality across multimodal interactions and on enabling a reliable, customer-centered shopping experience. The Shopping Agent team builds solutions that embed intelligence into retailer infrastructure to strengthen customer relationships. Cloud Applied AI develops Gemini Enterprise offerings and other domain-specific solutions, aiming for rapid deployment, adoption, and speed to value. The team works closely with AI model builders in a fast-paced, collaborative environment. The engineer will manage project priorities, deadlines, and deliverables, and design, develop, test, deploy, maintain, and enhance software solutions. Individual pay is determined by job-related skills, experience, and relevant education or training. The listed US compensation is $207,000–$300,000, plus a 20% bonus target, equity, and benefits.

Requirements

Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing and launching software products.
3 years of experience with software design and architecture.
5 years of experience leading ML design and optimizing end-to-end machine learning, such as model deployment, model evaluation, data processing, debugging, and fine-tuning.
2 years of experience with GenAI techniques, such as LLMs, multimodal systems, or large vision models, or with related concepts such as language modeling or computer vision.

Nice To Haves

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.
Experience with retail workflows (catalog, cart, checkout) and customer support nuances that inform user-centric test scenarios.
Experience launching and maintaining high-availability consumer-facing AI products.

Responsibilities

Lead the definition and execution of Shopping Agent quality metrics, ensuring response accuracy, safety, and brand alignment across text, voice, and image interactions.
Design and implement automated evaluation pipelines and golden datasets for complex shopping journeys, including virtual try-on, reasoning, and support queries.
Collaborate with research and modeling teams on quality improvement for foundational models, optimizing prompts and grounding to reduce hallucinations and improve conversion outcomes.
Develop robust integration tests for agentic actions such as add-to-cart and checkout, and ensure interoperability between the Shopping Agent and Customer Service Agent platforms.
Manage project priorities, deadlines, and deliverables.
Design, develop, test, deploy, maintain, and enhance software solutions.