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. BigQuery is the leader in the enterprise cloud data warehouse market. It is a high growth product area and plays a key role in contributing to GCP’s overall business and growth. BigQuery AI/ML is on a mission to democratize AI and ML. It takes away all the complexity and challenge of doing AI and ML and reduces it down to a few lines of SQL statements to train and predict machine learning models. Over the past few years, BQML has grown into a powerful AI and ML platform, growing rapidly in terms of usage and is a key differentiator for BigQuery. In this role, you will have the opportunity to work with BigQuery, Vertex AI, and other GCP services to help elevate BigQuery to the next level. 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.
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Job Type
Full-time
Career Level
Mid Level