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X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications: - Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 2 years of experience with generative AI technologies, including experience in launching features.
- 2 years of experience with software development in one or more programming languages, 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).
Preferred qualifications: - Master's degree or PhD in Computer Science or a related technical field.
- 5 years of experience in software development.
- Ability to communicate technical concepts clearly and effectively.
- Highly motivated individual who takes initiative.
About the job"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: $147000 - $210000 (USD) 15% bonus target equity benefits
Learn more about 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).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- 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 solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
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