Software Engineer III, YouTube Trust and Safety Automation

Google LLC; Zürich; On-site; CHF 140,000 - 180,000; Full time

Job summary

Google is seeking a Software Engineer III for YouTube Trust and Safety Automation in Switzerland. The role involves building state-of-the-art video content understanding, deploying classifiers across modalities, and enabling automated enforcement with human review integration.

Collaboration with research, Ops, and product teams is essential. You will contribute to scalable systems, ML infrastructure, and end-to-end model deployment, ensuring safety and effective content moderation at massive

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, reinforcement learning, ML infrastructure, or ML specialization.
• 1 year of experience with end-to-end Machine Learning (model deployment, evaluation, data processing, debugging).
• MS or PhD in Machine Learning (e.g., Computer Vision).
• 2 years of experience with data structures and algorithms.

Responsibilities

• 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.

Skills

Programming languages

Software development

End-to-end ML

ML infrastructure

Education

Bachelor’s degree or equivalent

MS or PhD in ML

Job description

Software Engineer III, YouTube Trust and Safety Automation

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• 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).

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.

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.

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.

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.

Responsibilities

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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