Software Engineer, YouTube Trust and Safety

Requirements:

• 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)

Nice to haves:

• 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

What you'll be doing:

• Analyze and understand gaps in 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

Perks and benefits:

• Opportunity to work on cutting-edge technologies at Google
• Work in a diverse and inclusive environment
• Opportunity for career growth and project flexibility
• Collaborative work culture at YouTube Trust and Safety team