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Software Engineer, Adversarial ML, Red Team

Google
New York, NYvia LinkedIn
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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 machine learning algorithms, architecture or infrastructure. Preferred qualifications: - PhD in computer science, mathematics, or a related technical field, or equivalent practical experience. - Experience in conducting Red Team exercises. - Experience with a wide variety of machine learning technologies and applications, spanning audio, video, and text. - Experience in security engineering, computer and network security, authentication, security protocols, and applied cryptography. - Experience in research. - Excellent people-management and communication skills. 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. In this role, you will embrace an attacker mindset to leverage adversarial ML techniques, simulating sophisticated threats against Google's artificial intelligence (AI) systems. Your mission: identify and exploit vulnerabilities in M
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