Software Engineer III, YouTube Trust and Safety Automation
Software Engineer III, YouTube Trust and Safety Automation
Requirements
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages (C++, Python, SQL), or 1 year of experience with an advanced degree.
1 year of experience with one or more of the following: Speech/audio technology, reinforcement learning, ML infrastructure, or specialization in another ML field.
1 year of experience with end-to-end Machine Learning processes including model deployment, evaluation, data processing, and debugging.
Nice to Haves
MS or PhD in Machine Learning (e.g., Computer Vision).
2 years of experience with data structures and algorithms.
Experience with Machine Learning, Computer Vision, and data analysis such as headroom analysis or opportunity sizing.
Experience developing accessible technologies.
What You'll Be Doing
Analyze and identify gaps in Video and Channels content understanding.
Build classifiers for YouTube videos and livestreams using multiple modalities including video, image, audio, transcripts, and metadata.
Develop efficient infrastructure to orchestrate classifiers and enable enforcement actions.
Leverage human review and Gemini compute capacity to enhance platform safety.
Collaborate with research, operations, and product teams to design, build, productionize, and maintain solutions.