Engineering Analyst, Trust and Safety, Gemini and Labs

Fast-paced, dynamic, and proactive, YouTube’s Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world.

As a Senior Generative AI Engineering Analyst, you will be a thought leader responsible for architecting our approach to the most complex risks associated with the AI. You will move beyond day-to-day analysis to define the long-term strategic roadmap for model safety. Your role will be to anticipate future threats, develop novel evaluation paradigms, and influence Google's product and research direction to ensure safety is a foundational, non-negotiable component of our AI systems. You will have expertise in analytics, a strategic mindset, critical thinking and the ability to work across all levels in the organization. You will be a pivotal voice in discussions that shape the future of AI at Google and beyond. You will collaborate with many teams within and outside of Trust and Safety (T&S). You also will partner with teams to drive operational excellence and deliver cross-functional initiatives.

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 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.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  
• 2 years of experience managing projects and defining project scope, goals, and deliverables.
  

Preferred qualifications:

• Master's degree in a quantitative discipline.
• Experience working with the technical and policy challenges of AI systems and working on novel AI risks and threat actors engaging in cyber mis-use, societal harms, weaponization, etc.
• Experience leading complex, cross-functional projects and setting the direction and experience with Python or other scripting languages for data analysis and prototyping.
• Experience using statistical analysis and hypothesis testing and excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
• Excellent communication skills with an interest in innovation, technology, and Google products.