Engineering Analyst, AI Safety

Google is a global technology company leading in AI and machine learning innovation.
$99,000 - $145,000
Machine Learning
Entry-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
AI

Description For Engineering Analyst, AI Safety

Google's Trust & Safety team is seeking an Engineering Analyst focused on AI Safety to help protect and ensure the integrity of Google's diverse product ecosystem. This role combines data analysis, machine learning, and security to combat abuse and enhance user safety across products like Search, Maps, Gmail, and Google Ads.

The position offers an opportunity to work at the forefront of AI safety, developing and implementing robust safety filters while leveraging advanced machine learning techniques. You'll be part of a team that thinks strategically about big-picture challenges while maintaining attention to detail in a dynamic environment.

As an Engineering Analyst, you'll collaborate with Google engineers and product managers globally to identify and address abuse and fraud cases efficiently. The role requires strong analytical skills, project management experience, and the ability to draw meaningful insights from both quantitative and qualitative data.

The position comes with competitive compensation, including a base salary range of $99,000-$145,000, plus bonus, equity, and comprehensive benefits. You'll be working in Seattle, contributing to Google's mission of protecting users and partners while ensuring the highest levels of safety in AI products.

Key responsibilities include developing scalable safety solutions, conducting sophisticated data analysis, and presenting findings to stakeholders. You'll need a bachelor's degree (master's preferred in a quantitative discipline), programming skills in languages like Python or SQL, and experience with machine learning systems.

This role is ideal for someone passionate about AI safety, with strong problem-solving abilities and excellent communication skills. You'll be at the intersection of AI innovation and user protection, helping to shape the future of safe AI deployment at one of the world's leading technology companies.

Last updated 19 hours ago

Responsibilities For Engineering Analyst, AI Safety

  • Solve complex problems using data and statistical methods
  • Identify and prevent fraud and abuse
  • Improve tools and automated systems through data analysis and present to stakeholders
  • Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques
  • Apply statistical and data science methods to examine Google's protection measures, uncover potential shortcomings, and develop insights for security enhancement

Requirements For Engineering Analyst, AI Safety

Python
  • 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 with SQL, R, Python, or C++ (preferred)
  • Experience with machine learning systems (preferred)
  • Excellent problem-solving skills with attention to detail
  • Excellent written and verbal communication skills

Benefits For Engineering Analyst, AI Safety

Medical Insurance
Equity
Vision Insurance
Dental Insurance
  • Medical Insurance
  • Equity
  • Vision Insurance
  • Dental Insurance

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