Job Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with SQL, Python, analytics and automation.
• 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

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.

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.

As a Senior Generative AI Engineering Analyst, you will be a thought leader responsible for architecting our approach to the complex risks associated with AI. You will move beyond day-to-day analysis to define the road map 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 the ability to work across all levels in the organization. You will support 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. 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.

Responsibilities

• Lead initiatives to implement next-generation safety mitigations. Guide engineering and research teams in building the technical solutions, from fine-tuning techniques to classifier-based guardrails.
• Partner with Engineering, Product, Policy and Legal to set precedents and create defensible principles for new AI capabilities.
• Analyse the evolving AI threat landscape. Identify and forecast future misuse vectors and adversarial techniques, translating these insights into a proactive mitigation agenda.
• Become the go-to person for issues related to the area of the business and use the domain knowledge to provide partners with insights and analyses.
• Review and be exposed to sensitive or violative content as part of the role. Perform on-call responsibilities on a rotating basis, including weekend coverage/holidays.