Staff Software Engineer, AI/ML, Shopping on Search, Commerce, Consumer Shopping Quality

Google•Pittsburgh, PA

1d•$207,000 - $300,000

About The Position

Google is seeking a Staff Software Engineer to help develop and improve AI-powered shopping experiences across Google, including Search, the Gemini app, YouTube, and Ads. The Commerce team is advancing agentic commerce by building intelligent, adaptive shopping experiences, powered by the Google Shopping Graph and open industry standards such as the Universal Commerce Protocol. In this role, you will drive technical strategy and quality improvements across Shopping GenAI surfaces, especially for visual actionable entities. You will design and deploy feature enhancements, analyze performance gaps with cross-functional partners, and contribute to architectural improvements that make these entities reliable and effective. You will manage project priorities, deadlines, and deliverables, and design, develop, test, deploy, maintain, and enhance software solutions.

Requirements

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience with ML design and end-to-end machine learning, such as model deployment, model evaluation, data processing, and debugging.
5 years of experience in one or more of speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
Experience applying machine learning techniques to search ranking performance and information retrieval systems.
Experience building recommendation systems that provide user-specific item or content suggestions.

Nice To Haves

Experience solving open-ended quality problems, identifying systemic gaps, and driving root-cause analysis to resolve them.
Experience building user-facing AI features.
Experience designing system architecture and AI/ML-powered solutions.
Experience defining long-term technical vision and establishing roadmaps for problem spaces.
Ability to drive cross-functional alignment across product, engineering, and partner organizations.
Ability to move quickly in rapidly changing environments.

Responsibilities

Drive technical strategy and quality improvements across Shopping GenAI surfaces for visual actionable entities, prioritizing triggering, completeness, and product/offer quality.
Design and deploy feature enhancements using prompt optimization, entity annotation, and novel grounding strategies to improve actionable entity quality.
Analyze performance gaps through rigorous loss analysis and collaborate with cross-functional partners to identify and implement solutions across the Gemini and Shopping stack.
Contribute to architectural improvements by applying model and infrastructure advances to ensure actionable entities perform reliably and effectively.
Collaborate across engineering teams, including Consumer Shopping, Merchant, and GDM, to resolve GenAI feature, Shopping Graph data, policy, and retrieval issues.
Manage project priorities, deadlines, and deliverables; design, develop, test, deploy, maintain, and enhance software solutions.