Software Engineer Iii, Ai/Ml, Threat Intelligence

QualificationsBachelor's degree or equivalent practical experience.2 years of experience with Vertex AI and AI Platform.2 years of experience with software development in Python or Go, or 1 year of experience with an advanced degree.1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).Preferred qualificationsMaster's degree or PhD in Computer Science or related technical fields.2 years of experience with data structures and algorithms.Experience in the cybersecurity domain, particularly with malware analysis, threat hunting, or digital risk protection.About the jobGoogle's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 the business grow. You will need to be versatile, display leadership, and embrace new problems across the full stack.Google Threat Intelligence's software engineers develop technologies to promote information exchange and strengthen security on the Internet. As a software engineer, you will work on projects critical to Google Threat Intelligence ecosystem needs, taking ownership of new problems across the full stack.Design and implement complex features for medium-to-large projects, managing priorities, deadlines, and deliverables independently.Research, design, and implement AI-driven solutions leveraging large language models for various security-related use cases.Architect and deploy autonomous and semi-autonomous AI agents capable of performing complex tasks, such as automated malware analysis, threat hunting, or incident response support.Own the entire lifecycle of AI-powered features, from ideation and prototyping to production deployment, monitoring, and continuous improvement.Provide technical guidance to junior engineers and contribute to the team's engineering standards and best practices.Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents?to?be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.#J-*****-Ljbffr

Bachelor's degree or equivalent practical experience. 2 years of experience with Vertex AI and AI Platform. 2 years of experience with software development in Python or Go, or 1 year of experience with an advanced degree. 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with data structures and algorithms. Experience in the cybersecurity domain, particularly with malware analysis, threat hunting, or digital risk protection.