GenAI Shopping Engineer on Gemini Platform

Google; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is hiring a Software Engineer for Generative AI in Shopping on Gemini, with locations in Mountain View, CA or Pittsburgh, PA, offering flexible working arrangements. The role centers on building GenAI-powered shopping experiences with visual assets and multimodal interactions.

You’ll collaborate across teams to deliver high-impact features that improve user engagement and conversion. Expect to work on large-scale systems, deploy ML pipelines, and advance multimodal capabilities within the

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in C++ or Java, and Python, or 1 year with an advanced degree.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience with Generative AI (GenAI) techniques or related concepts.

Responsibilities

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices across technologies.
• Triage product or system issues and debug/resolve impact on hardware, network, or service operations.
• Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
• Design and implement scalable backend services and ML pipelines for visual assets and multimodal capabilities.

Skills

C++/Java

Python

ML infrastructure

GenAI concepts

Education

Bachelor's degree or equivalent

Master's degree or PhD (preferred)

Job description

Google is hiring a Software Engineer for Generative AI in Shopping on Gemini, with locations in Mountain View, CA or Pittsburgh, PA, offering flexible working arrangements. The role centers on building GenAI-powered shopping experiences with visual assets and multimodal interactions.

You’ll collaborate across teams to deliver high-impact features that improve user engagement and conversion. Expect to work on large-scale systems, deploy ML pipelines, and advance multimodal capabilities within the