AI Safety Data Scientist, Trust and Safety

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.

The AI Safety Protections team safeguards Generative AI experiences across Google products for all users, including enterprise clients. By developing and deploying safety classifiers, both server-side and on-device, the team ensures the distribution of safe and policy-compliant content. They take a data-driven approach to problem-solving and exceed in employing cutting-edge AI solutions for enhanced 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 AI products across Google by leveraging advanced machine learning and AI techniques.
• Apply statistical and data science methods to examine Google's protection measures, uncover potential shortcomings, and develop insights for continuous security enhancement.
• Drive business outcomes by crafting compelling data stories for a variety of stakeholders, including senior leadership.
• Develop automated data pipelines and self-service dashboards to provide timely insights at scale.
• Work with sensitive content/situations and may be exposed to graphic, controversial, or upsetting topics/content.