全职 Software Engineer, Google Pay Mobile Development 工作, 薪水, Sourceo 公司招聘中 - Ricebowl

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. 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.

Responsibilities

• Work extensively in a Flutter (Dart) codebase delivering seamless, cross-platform (e.g., Android and iOS) shopping experiences to Google Pay users.
• Partner effectively with Product Manager (PM) and User Experience (UX) leads to build new user-facing experiences, and collaborate closely with cross-Product Area (PA) partner teams (e.g., Google Shopping and Augmented Reality and Machine Learning (ARML)) to integrate AI/ML models into the client.
• Develop and iterate on Large Language Model (LLM) prompts and Artificial Intelligence (AI) infrastructure setup to improve the quality of our conversational AI stylist.
• Conduct AI evaluations, including operational and qualitative assessments for conversational AI response and image/video GenAI results.

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