Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience programming in C++, Java, Python, Kotlin or Go. 5 years of experience working with cloud computing technologies or related technical fields. 3 years of experience applying machine learning or artificial intelligence techniques. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. Experience in, or supporting the financial services industry. Experience with code hosting platform. 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. The Office of the CTO (OCTO) is a team of highly experienced engineers and technologists, with direct sponsorship from the Cloud CTO and C-level, whose mission is to foster market-disrupting collaborative innovation between Google and the world's most ambitious organizations. We believe small teams, operating with context, empowerment and access to the world’s most promising technology, create the breakthroughs that define markets. For the last 10 years, the Office of the CTO (OCTO) in Google Cloud has leveraged this insight to help our most customers transform their organizations using small, adaptable teams and methods, while concurrently supporting our internal collaborators as they take these early technology proof points and build them into scaled products and platforms. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Drive an experienced machine learning engineer to help generate experiments across a broad range of topics. Help evaluate technical problems and find a path forward that can be evaluated quickly. Collaborate with Google Cloud Platform (GCP) product and engineering teams, Google research teams, and GCP customers to find applied uses for the latest in generative AI and machine learning technologies. Help set the cultural tone for the team around teamwork, innovation and collaboration, and help develop our team’s ambitious strategy.