Senior Software Engineer, YouTube Trust & Safety Automation

Google LLC; Zürich; Presencial; CHF 140 000 - 180 000; Tempo integral

Resumo da oferta

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

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Programming languages

Software development

End-to-end ML

ML infrastructure

Formação académica

Bachelor’s degree or equivalent

MS or PhD in ML

Descrição da oferta de emprego

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