Software Engineer, Cloud Applied AI
Vor 3 Tagen
- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities:- Create reusable solutions and best practices.
- Develop the first version of the product for early access customers.
- Improve the overall ecosystem by implementing various tools for the team, customers, and partners.
- Attend regular workshops with customers to address their feedback and steer technical development.
- Collaborate with cross-functional teams to design and implement end-to-end software systems that incorporate ML/LLM components.
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