Engineering Analyst, Egregious Harms, Trust and Safety

Google LLC•Washington, DC

39d

About The Position

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 an Engineering Analyst within the Trust and Safety team, you'll be part of a global team that ensures the seamless detection and enforcement of some of the most egregious online harms (e.g. child safety and non-consensual intimate imagery). Through partnerships with Product, Engineering, Policy, and Legal, you'll leverage your technical acumen to design and develop novel solutions. 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.

Requirements

Bachelor's degree or equivalent practical experience.
5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
Experience with one or more of the following languages: SQL or Python.

Nice To Haves

Master's degree in a quantitative discipline.
Experience with scripting language, machine learning tools, techniques and systems, including large language models (LLMs).
Knowledge of current abuse techniques and practices.
Ability to work with engineering stakeholders to gather requirements, explaining models, and iterating to make improvements.
Ability to extract and manipulate high volumes of critical, product-related data.
Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

Responsibilities

Perform complex data analyses to derive insights that help identify emerging threats and fight abuse across our products.
Identify opportunities for the improvement of Google's detection and enforcement systems as well as for automation.
Lead multiple interdependent projects of moderate to high complexity and scope. Work cross-functionally to ensure coordination and alignment on objectives and key results.
Compute statistics (e.g., precision, recall) about the performance of complex technical models (ML systems, classifiers, LLMs) and recognize nuanced, easily missed problems in the performance of these systems.
Review or be exposed to sensitive or graphic content as part of the core role.