About the job

Trust and 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 an Engineering Analyst in the Trust and Safety Search, Assistant, and Geo products. (SAGe) team, you will work to discover, measure and mitigate user trust risks in Search products through scalable solutions. Your work will require learning about product design details, product policies and relevant quality signals. You will work on analyzing existing product protections, evaluating content and helping to improve policy definitions. You will also enable the deployment of key defenses to stop abuse, and lead process improvement efforts to improve speed and quality of response to abuse. You will identify platform needs/influence enforcement capability design and enable professional/career success for the team. Your aim is to resolve problems at scale either by working with engineers on automated product protections or through vendor support.

This role will be exposed to graphic, controversial, or upsetting content.At Google we work hard to earn our users’ trust every day. Trust and 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

• Collaborate with Search GenAI teams on project scoping, risk assessments and prioritization lead projects and cross-functional initiatives within Google, interacting with executive stakeholders from engineering, legal, product teams and more.

• Develop expertise in Search infrastructure, ranking signals and Search features, build Large Language Model (LLM) based models that can evaluate content safety according to our product policies

• Design and implement product metrics to benchmark user trust risks and track improvements over time, create datasets for engineers to evaluate and improve sensitive content classifiers.

• Deliver leadership and impact as for the broader Trust and Safety Search, Assistant & Geo team.

Ability to review or be exposed to sensitive or violative content as part of core role

• Fulfill on-call responsibilities on a rotating basis, including weekend coverage and holidays, when needed.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 7 years of experience in trust and safety, risk mitigation, cybersecurity, or related fields.

• 7 years of experience with one or more of the following languages: SQL, R, Python.

• Experience with data analysis, statistical analysis and data science.

Preferred qualifications

• Master's degree in a quantitative discipline.

• Experience in developing prompts and applying Large Language Models for data labeling.

• Experience working on product policy analysis and identifying policy risks with problem-solving and critical thinking skills with attention-to-detail in an ever-changing environment.

• Experience with web technologies, search engine ecosystems, and common web abuse tactics.

• Ability to maintain a track record of designing sampling approaches and using statistical analysis for making product recommendations.