Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Experience designing, building, and maintaining large-scale distributed systems. Experience deploying and managing machine learning models on cloud-based AI platforms. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 2 years of experience with data structures and algorithms. Experience developing accessible technologies. Experience with Go, SQL, C++ and Python. 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. Google SecOps empowers global banks, security firms, and governmens security teams to better detect, investigate, and respond to threats. The Detections team is a foundational component responsible for collecting telemetry from customers and identifying threats at unparalleled speed and scale. The stack includes rules engine that operates at the speed of search, a rules language for custom detection management, and a regular stream of built-in rules and indicators, built by Google's security research team. 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency.). Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing. Build and launch customer facing security solutions in one of Google's biggest growth areas. Work on a Google Scale real time system performing complex analysis of huge amounts of data instantaneously. Be on the cutting edge of security threat detection and analysis.