Software Engineer II, Trust and Safety,
vor 1 Woche
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- Bachelor's degree or equivalent practical experience.
- 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.
- year of experience implementing core ML concepts
- 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.
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.
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 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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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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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