GenAI Shopping Engineer - Visual AI & Multimodal on Gemini

Google; Pittsburgh (Allegheny County); Hybrid; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google software engineers work on next-generation technologies to connect billions of users. You will contribute to projects across AI, data storage, and large-scale systems, with opportunities to switch teams as you grow in a fast-paced environment.

The Visual Quality team focuses on transforming text-heavy shopping experiences into visually immersive interactions, leveraging AIM, AIO, and Gemini. The role emphasizes building multimodal capabilities and advanced image generation for shopping

Qualifications

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

Responsibilities

• Write product or system development code.
• Collaborate through design and code reviews to uphold best practices.
• Triage and debug product or system issues across hardware, network, or services.
• Implement GenAI solutions and ML pipelines; optimize data processing.
• Design scalable backend services and ML pipelines for visual assets in shopping experiences.

Skills

C++/Java

Python

ML infrastructure

GenAI concepts

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related field

Job description

Google software engineers work on next-generation technologies to connect billions of users. You will contribute to projects across AI, data storage, and large-scale systems, with opportunities to switch teams as you grow in a fast-paced environment.

The Visual Quality team focuses on transforming text-heavy shopping experiences into visually immersive interactions, leveraging AIM, AIO, and Gemini. The role emphasizes building multimodal capabilities and advanced image generation for shopping