Software Engineer III, YouTube Trust and Safety Automation

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.

In this team, you are a Software Engineer (SWE) in a team that builds state of the art video content understanding for YouTube Trust & Safety, with a focus on the efficient enforcement via automated decisions and ranking for review by a human or Large Language Model (LLM) expert.

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.

Analyze and understand gaps in our Video and Channels content understanding.

Build classifiers for YouTube videos and livestreams using various modalities (video, image, audio, audio transcripts, metadata).

Build efficient infrastructure to orchestrate classifiers and take enforcement actions.

Utilize human review and Gemini compute capacity to maximize safety on the platform.

Collaborate with research, operations, and product teams and Design, build, productionize, and maintain your solutions.

Minimum qualifications:

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 (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).

Preferred qualifications:

MS or PhD in Machine Learning (e.g., Computer Vision).

2 years of experience with data structures and algorithms.

Experience with Machine Learning (ML), Computer Vision and data analysis (headroom analysis/opportunity sizing).

Experience developing accessible technologies.