Engineering Analyst, AI Safety

Mid • On-site

$126,000 - $181,000/yr

Kirkland, WA

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
2 years of experience managing projects and defining project scope, goals, and deliverables.

Preferred qualifications:

Master's degree or PhD in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Physics, Operations Research, etc).
3 years of experience in a data analysis or data science setting and in abuse and fraud disciplines.
Experience in programming languages (e.g., Python, R, Julia), database languages (e.g. SQL) and scripting languages (e.g., C/C++, Python, Java).
Experience with prompt engineering and fine-tuning LLMs.
Experience applying machine learning techniques to the datasets.
Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

About the job

The AI Safety Protections team within Trust and Safety develops and implements AI/Large Language Model (LLM) powered solutions to ensure the safety of generative AI foundational models. This includes Gemini, Artificial General Intelligence (AGI) Agent, and Robotics working with Google DeepMind, as well as downstream products such as enterprise offerings Vertex AI, on-device applications, etc.

As an Engineering Analyst, you will mitigate risks associated with generative AI, and addressing safety with LLM/AI technology (e.g., imminent threat, child safety) as our community contribution. As a member of our team, you will have the opportunity to apply the latest advancements in AI/LLM, work with teams developing AI technologies, as well as protect 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.

The US base salary range for this full-time position is $126,000-$181,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Develop safety solutions for AI products across Google by leveraging Machine Learning and AI techniques.
Apply statistical and data science methods to examine Google's protection measures, uncover potential shortcomings, and develop insights for continuous security enhancement.
Drive business outcomes by crafting data stories for a variety of stakeholders, including executive leadership.
Develop automated data pipelines and self-service dashboards to provide timely insights.
Work with sensitive content, situations, youwill be exposed to graphic, controversial, or upsetting topics or content.

Google

Google LLC started as a PhD project by Larry Page and Sergey Brin in 1998 at Stanford University. Google LLC has blossomed into a behemoth of the tech world. With its mission to organize the world's information and make it universally accessible and useful, Google’s search engine is its crown jewel. Online advertising, via AdWords and AdSense, forms the backbone of its financial success. Beyond search, Google has ventured into cloud computing, hardware, and software development. The innovative PageRank algorithm revolutionized search engine technology, and surviving the dot-com bubble burst and going public in 2004 spurred its meteoric growth. Acquiring YouTube stands as a testament to Google’s strategic expansion.