Software Engineer, Trust and Safety, Technology and Innovation Engineering

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. Trust and Safety (T&S) is dedicated to promoting trust in Google and ensuring user safety, and we work to proactively identify and mitigate potential harms across all Google products and services. Our team takes a strategic and scalable approach to helping Google stay ahead of attackers, and strives to deliver trusted and safe experiences to all users. We are a global team of experts, including technical analysts, data scientists, policy specialists, and data engineers, who collaborate with cross-functional partners across the company to defend our platforms. Our work is mission-critical, ensuring the safety and security of billions of users, developers, creators, advertisers, and other customers. We drive responsible innovation and are the industry's leading abuse fighters. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . Scope, design, test, and deploy new features and components that leverage AI to automate and enhance trust and safety operations, enabling teams to scale their user protection impact efficiently. Troubleshoot and debug issues, ensuring a high-quality user experience. Work across the stack from building AI models, to performing experiments, improving quality, building infrastructure and tools, etc. Collaborate cross-functionally to solve ambiguous, testing, and impactful problems at the intersection of technology, automation, user protection, and AI. Participate in code reviews, receive and give constructive feedback to peers. Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with designing and implementing large-scale distributed systems. 3 years of experience architecting distributed systems, infrastructure or agentic systems. Experience building and deploying agentic AI systems. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 3 years of experience with abuse detection. 3 years of experience with AI algorithms. Experience with Generative AI. Excellent problem-solving skills, with the ability to apply on complex issues. Bachelor’s degree or equivalent practical experience. 5 years of experience with designing and implementing large-scale distributed systems. 3 years of experience architecting distributed systems, infrastructure or agentic systems. Experience building and deploying agentic AI systems.