Software Engineer II, Trust, YouTube

vor 1 Tag

Zürich, Zürich, Schweiz Google Vollzeit
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 and algorithms.
  • 1 year of experience implementing core ML concepts.
Preferred qualifications:
  • Experience with Machine Learning (ML), Computer Vision and data analysis (e.g., head room analysis/opportunity sizing).


About the jobGoogle'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.
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
  • Analyze and understand gaps in our content understanding.
  • Build classifiers for YouTube videos, livestreams, and images using various modalities (e.g., video, image, audio, audio transcripts, metadata).
  • Apply novel machine learning methods to address a variety of Tust and Safety issues.
  • Apply foundational Machine Learning (ML) concepts and contribute to the implementation of solutions in one or more specialized ML areas.
  • Collaborate with research, operations, and product teams.

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