Software Engineer, Generative AI, Shopping Quality
Google · Mountain View, CA, USA ·
- Category
- AI engineering
- Experience
- 1+ years
- Company size
- 1000+
- Salary
- USD 147,000 – 210,000 / year
Google · Mountain View, CA, USA ·
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Software engineer on Google's Commerce team improving Shopping quality with generative AI: writing production code, implementing GenAI/LLM solutions on ML infrastructure, and debugging large-scale systems. Focus areas include LLMs, multi-modal models, prompt engineering, and data/ML optimization.
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.
People shop on Google more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for Google Commerce is to be an essential part of the shopping journey for consumers - from inspiration to to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today’s digital world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.Apertera · Shanghai