Minimum qualifications:

• Bachelor's degree or equivalent practical experience
• 1 year of experience with software development in one or more programming language (e.g., Python, C, C++, Java, JavaScript).

Preferred qualifications:

• Master's degree or PhD in Machine Learning, preferably Computer Vision, or a related field.
  
• Experience in applying machine learning to real-world data.
  
• Experience with TensorFlow, Keras, Flume, Computer Vision, Deep Learning, and Data Analysis.
  
• Experience in Machine Learning (ML), C++, Python, SQL.
  

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.

Our team's mission is to protect YouTube and ensure that we offer a safe place for our creators, users and advertisers. Our goal is to perfect our abusive content understanding to detect all problematic content automatically.

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).
• Apply novel machine learning methods to manage a variety of Trust and Safety issues.
• Collaborate with research, operations, and product teams.