Engineering Analyst, AI Safety

Google is seeking an Engineering Analyst for their AI Safety team within the Trust & Safety organization. This critical role combines data analysis, machine learning, and security to protect Google's suite of products and users. The position offers an exciting opportunity to work at the forefront of AI safety, developing and implementing robust protection measures for Google's GenAI products.

The role requires a unique blend of analytical skills, project management experience, and technical expertise in languages like Python and SQL. You'll be working with cross-functional teams, including engineers and product managers, to identify and combat abuse and fraud across Google's product ecosystem, including Search, Maps, Gmail, and Google Ads.

As an Engineering Analyst, you'll be responsible for developing scalable safety solutions using advanced machine learning and AI techniques. Your work will directly impact user safety and trust in Google's products. The role involves analyzing complex data sets, identifying trends, and generating actionable insights to enhance security measures.

The position offers competitive compensation, including a base salary range of $99,000-$145,000, plus bonus, equity, and comprehensive benefits. You'll be based in Seattle, working with global teams in a collaborative environment that values diversity and inclusion.

This role is ideal for candidates who are passionate about AI safety and have a strong foundation in data analysis and machine learning. You'll need excellent problem-solving skills and the ability to communicate complex technical concepts effectively. The position does involve working with sensitive content and may expose you to challenging topics, requiring both technical expertise and professional discretion.

Join Google's mission to protect GenAI products and combat harmful content while working with cutting-edge technology and contributing to the safety and integrity of products used by millions globally. This role offers significant growth potential and the opportunity to make a meaningful impact on AI safety and user protection.