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Job Details
Posted date: Feb 11, 2026
There have been 6 jobs posted with the title of Engineering Analyst, AI Safety all time at Google.There have been 6 Engineering Analyst, AI Safety jobs posted in the last month.
Location: Seattle, WA
Level: Mid
Estimated salary: $128,000
Range: $105,000 - $151,000
Description
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. Develop automated data pipelines and self-service dashboards to provide timely insights at scale. Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.We are a team of passionate data scientists and machine learning experts dedicated to mitigating risks associated with generative AI. In this role, you will have the opportunity to apply the latest advancements in AI/Large Language Models (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 $105,000-$151,000 + 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.
Qualifications
Minimum qualifications: Bachelor's degree or equivalent practical experience. 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 1 year of experience managing projects and defining project scope, goals, and deliverables. Experience working with SQL or Python.Preferred qualifications: Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering). Experience with scripting languages like Python. Experience in cyber-security, incident response, threat intelligence or threat detection. Experience with metrics design, process design or automation in particular in the adversarial space. Ability to explain complex technical issues clearly to stakeholders at different levels with excellent communication, data analysis and SQL skills. Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
Extended Qualifications
Bachelor's degree or equivalent practical experience. 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 1 year of experience managing projects and defining project scope, goals, and deliverables. Experience working with SQL or Python.Check out other jobs at Google.