Software Engineer, Generative AI, Shopping 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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pittsburgh, PA, USA; Mountain View, CA, USA.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in C++ or Java, and Python , or 1 year of experience 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 (e.g., LLMs, multi-modal, large vision models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• 2 years of experience with data structures and algorithms.
• Experience developing accessible technologies.

About The Job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Visual Quality team, part of the quality organization, focuses on transforming text-heavy shopping experiences into intentional, visually immersive interactions across AI Mode (AIM), AI Overview (AIO), and Gemini. Our 2026 strategy centers on moving away from the current wall of text to deliver the right visual assets at the right moment to increase user helpfulness and efficiency. Strategic pillars and project areas are as follows: maximize visual immersion: focuses on optimizing coverage and precision, launching concept cards for broader entities, and identifying varied contextual imagery, visualize complex shopping concepts: explores implicit image generation (e.g., infographics and creative synthesis) and better utilization of existing visual assets, and accelerate SOTA visual experiences: aims to launch multimodal conversational shopping and support advanced image generation features.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement GenAI solutions, utilize Machine learning (ML) infrastructure, and contribute to data preparation, optimization, and performance enhancements.
• Design and implement scalable backend services and ML pipelines that trigger visual assets like product cards, comparison tables, and product carousels. Optimize the selection and display of varied visual content to improve the visual immersion metrics for shopping queries and develop features that integrate multimodal conversational capabilities into the core shopping experience.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .