Software Engineer, Consumer DevAI

Google•Mountain View, CA

2d•$147,000 - $210,000

About The Position

Google software engineers develop technologies that help billions of users connect, explore, and interact with information. Engineers work on projects important to Google, with opportunities to move between teams and projects as the business evolves. The role calls for versatility, leadership qualities, and readiness to tackle problems across the full stack. The Google Commerce team is advancing agentic commerce by creating intelligent, adaptive shopping experiences. It is bringing Gemini into AI Mode in Search and the Gemini app, using the Google Shopping Graph's 60B+ listings, and contributing to open industry standards such as the Universal Commerce Protocol. The team builds shopping experiences across Google Search, the Gemini app, YouTube, and Ads to help people discover and buy products from brands on Google.

Requirements

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 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, such as model deployment, model evaluation, optimization, data processing, or debugging.

Nice To Haves

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, takes initiative.

Responsibilities

Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to promote best practices, including style guidelines, code checking, accuracy, testability, and efficiency.
Contribute to documentation or educational content and adapt it based on product or program updates and user feedback.
Triage product or system issues and debug, track, and resolve them by analyzing causes and impacts on hardware, network, or service operations and quality.
Implement solutions in one or more specialized ML areas, use ML infrastructure, and contribute to model optimization and data processing.