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 is seeking an Engineering Analyst for their AI Safety team within the Trust & Safety organization. This role is crucial in protecting Google's suite of products and ensuring user safety across platforms like Search, Maps, Gmail, and Google Ads. The position offers a competitive base salary range of $99,000-$145,000, plus additional benefits including bonus and equity.

The role focuses on developing and implementing safety solutions for AI products, combining data analysis with machine learning techniques to combat harmful content and maintain product integrity. You'll be working with cross-functional teams, including engineers and product managers, to identify and address safety challenges at scale.

As an Engineering Analyst, you'll be responsible for analyzing complex data sets, identifying trends, and generating actionable insights to improve Google's protection measures. The position requires strong analytical skills, experience with programming languages like Python or SQL, and familiarity with machine learning systems.

The ideal candidate should have at least one year of experience in data analysis and project management, with a bachelor's degree or equivalent practical experience. Strong problem-solving abilities and excellent communication skills are essential, as you'll be working with sensitive content and presenting findings to stakeholders.

This is an excellent opportunity for someone passionate about AI safety and interested in working at the forefront of technology. You'll be part of a team that directly impacts the safety and trustworthiness of Google's products while contributing to the responsible development of AI technologies. The role offers significant growth potential and the chance to work with cutting-edge AI systems while addressing real-world challenges in content safety and fraud prevention.

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 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
Dental Insurance
Vision Insurance
  • bonus
  • equity
  • benefits

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