AI Safety Protections Data Scientist, Trust and Safety

Experience in applying Machine Learning techniques to datasets.

• Excellent problem-solving and critical thinking skills with attention to detail in an changing environment.

About the job

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

At Google we work hard to earn our users' trust every day. Trust & Safety is Google's team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A diverse team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google's products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

Responsibilities

• Develop scalable safety solutions for Artificial Intelligence (AI) products across Google by leveraging advanced machine learning and AI techniques.
• Apply statistical and data science methods to thoroughly examine Google's protection measures, uncover potential shortcomings, and develop insights for subjective security enhancement.
• Deliver business outcomes by crafting data stories for a variety of stakeholders, including executive leadership.
• Develop automated data pipelines and self-service dashboards to provide insights at scale.
• Work with sensitive content or situations and be exposed to graphic, controversial or upsetting topics or content.