Senior Engineering Analyst, AI, Safety

Google•Kirkland, WA

About The Position

We are a team of passionate data scientists and machine learning experts dedicated to mitigating risks associated with generative AI. As a Senior Engineering Analyst, you will have the opportunity to apply the latest advancements in AI/Large Language Model (LLM), work with teams developing AI technologies, as well as protecting the world from real-world harms. 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.
5 years of experience in data analysis or data science settings.
Experience in programming languages (e.g., Python, R, Julia), database languages (e.g., SQL) and scripting languages (e.g., C/C++, Java).

Nice To Haves

Master’s degree or PhD in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, etc.).
Experience in abuse and fraud disciplines, especially focused on web security, harmful content moderation and threat analysis.
Experience with prompt engineering and fine-tuning LLMs.
Proficiency in applying machine learning techniques to large datasets.
Strong communication and presentation skills to effectively communicate with a variety of stakeholders, including executive leadership.
Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

Responsibilities

Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques.
Apply statistical and data science methods to thoroughly examine Google's protection measures, uncover potential shortcomings, and develop actionable insights for continuous security enhancement.
Drive business outcomes by crafting compelling data stories for a variety of stakeholders, including executive leadership.
Provide technical leadership by fostering growth and ensuring success of junior team members through mentorship and guidance.
Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.