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 Engineering Analyst, you'll play a crucial role in ensuring a safe and trusted experience for users interacting with AI features in Google Photos. You will work directly with Product Management, Engineering, Policy, and Legal teams to build and execute a comprehensive approach to push the AI model to its limits and build resilience against malicious or unexpected inputs.
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
- Accelerate generative AI feature development by preparing comprehensive and automated trust and safety evaluations set across all relevant data types/languages and that cover all critical generative AI user journeys (e.g., edits, search, etc.).
- Conduct research, identify emerging risk areas, abuse vectors, and edge cases, and build internal and external partnerships for generative AI safety.
- Partner with product, engineering, policy, research, central trust and safety, etc. to develop tailored testing approaches, tools, and solutions (e.g., test accounts etc.), test execution, and model output analysis to inform improvement areas and safety mechanisms.
- Establish testing to discover residual and emergent risks.
- Define program metrics and communication, and establish health metrics and feedback loops with stakeholders to evolve the program and report on key insights.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience managing projects and defining project scope, goals, and deliverables.
- 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
Preferred qualifications:
- Experience working with Google's products and services (e.g., generative AI products).
- Experience in SQL, building dashboards, data collection/transformation, or visualization/dashboards or experience in a scripting/programming language (e.g., Python).
- Knowledge of content moderation policies and best practices.
- Excellent problem-solving skills with attention to detail in an ever-changing environment.