Software Engineer, Generative AI, Shopping on Gemini

Google

Mountain View (CA)

On-site

USD 147,000 - 210,000

Full time

2 days ago
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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

Software Engineer, Generative AI, Shopping on Gemini

Google

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Pittsburgh, PA, USA; Mountain View, CA, USA

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

benefits at Google

Responsibilities
  • 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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