Minimum qualifications:

Bachelor’s degree or equivalent practical experience.

1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

1 year of experience with data structures or algorithms.

1 year of experience implementing core ML concepts.

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Preferred qualifications:

• Master's degree in Computer Science or a related technical field.
• Experience in designing, analyzing, launching, and serving ML models.
• Experience in applied machine learning at scale.
• Excellent pragmatic and collaborative mindset, leveraging existing resources to achieve impact quickly, and influencing other teams' roadmaps to meet program needs.

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About the job

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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.

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With YouTube (YT) growing every year and the threat of adversaries creating abusive videos at scale with GenAI, we need to massively increase our ability to remove videos without relying on human reviews as much as we do today. By joining the Video Abuse Detection team at YT Trust and Safety, you will join a very visible project and a fun team to make this big change happen.

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At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

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Responsibilities

• Write product or system development code.
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Perform data analysis (e.g., SQL, Python in Colab) to gain insights on how to reach our detection goals; Perform model experiments, analyze them, and build graph-based classifiers; Work with research and other engineering teams to identify and deploy graph-based solutions.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies; Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

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