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X In most instances, this position requires in-person interviews as part of the hiring process.Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Pittsburgh, PA, USA; New York, NY, USA.
Minimum qualifications: - 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 (e.g., model deployment, model evaluation, data processing, debugging).
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- Experience applying machine learning techniques to search ranking performance and information retrieval systems.
- Experience building recommendation systems to provide user-specific item or content suggestions.
Preferred qualifications: - 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.
About the jobWith your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
"The Google Commerce team is driving the shift toward agentic commerce-moving beyond static interactions to build intelligent, adaptive shopping experiences. By bringing Gemini into AI Mode in Search and the Gemini app, we're making shopping even more intuitive. Powered by the Google Shopping Graph's 60B listings, our team is helping to establish open industry standards like the Universal Commerce Protocol. We're building shopping experiences across Google, including Search, the Gemini app, YouTube, and Ads, to help people discover and buy products from the brands they love and trust on Google.
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 .
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 by utilizing prompt optimization, entity annotation, and novel grounding strategies to improve actionable entity quality.
- Analyze performance gaps through rigorous loss analysis, collaborating with cross-functional partners to identify and implement solutions across the Gemini & 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.
