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.
User Protections is part of the Privacy, Safety, and Security (PSS) organization in Core, with a mission to keep users safe, at scale. Within User Protection, our team is responsible for protecting Google from being used in the most severe, real-world harms (e.g., abuse and exploitation, non-consensual imagery, and more) through abuse intervention strategies and technologies that are deployed across Google's flagship products to keep users safe on and off-platform.
In this role, you will work closely with product, policy, operations, and legal partners, to develop techniques to protect against real world harms for the full lifecycle of abuse (i.e., prevention, detection, and enforcement across Google surfaces) and identify opportunities to leverage User Protections' abuse fighting infrastructure.
The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer.
As the Content Safety Lead, you will collaborate with engineering and machine learning teams to define best practices, lead the development of impactful solutions, improve machine learning processes, negotiate safety strategies with foundational model owners, and facilitate alignment across teams. This role requires a strong background in software development, data structures/algorithms, and experience in technical leadership.