Engineering Analyst, AI Safety

Google is a global technology company that develops AI-powered products and services.
$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 to join their AI Safety initiatives. This role is crucial in protecting Google's GenAI products through robust safety filters and AI-powered solutions to combat harmful content. The position combines data analysis, machine learning, and security to ensure user safety across Google's product ecosystem.

The ideal candidate will have a strong foundation in data analysis and project management, with experience in programming languages like Python or SQL. They will work on identifying and preventing fraud and abuse, developing scalable safety solutions, and applying statistical methods to enhance security measures.

This role offers an opportunity to work with cutting-edge AI technology while making a significant impact on user safety. The position comes with competitive compensation ($99,000-$145,000) plus bonus, equity, and comprehensive benefits. Team members collaborate globally with engineers and product managers to tackle complex challenges at Google's scale.

The role involves exposure to sensitive content and requires someone who can handle challenging topics while maintaining professional judgment. You'll be part of a team that values strategic thinking, proactive communication, and a commitment to promoting trust in Google's services.

Working at Google means joining a diverse, inclusive environment with opportunities for professional growth and development. The company is committed to equal opportunity employment and provides comprehensive benefits, including medical coverage, equity packages, and more.

Last updated 8 days 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 one or more of the following languages: SQL, R, Python, or C++
  • Experience with machine learning systems
  • Excellent problem-solving skills with attention to detail
  • Excellent written and verbal communication skills

Benefits For Engineering Analyst, AI Safety

Medical Insurance
Equity
Parental Leave
  • Medical Insurance
  • Equity
  • Parental Leave

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