Engineering Analyst II, AI Safety

Google is a global technology leader that specializes in internet-related services and products.
$117,000 - $172,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
AI · Cybersecurity

Description For Engineering Analyst II, AI Safety

Google is seeking an Engineering Analyst II for AI Safety to join their Trust and Safety team. This role is crucial in protecting GenAI products with robust safety filters and applying AI to combat harmful content. The ideal candidate will have a strong background in data analysis, project management, and experience with machine learning systems.

As an Engineering Analyst II, you'll be at the forefront of identifying and tackling the biggest challenges to the safety and integrity of Google's products. You'll use your technical expertise, problem-solving skills, and user insights to protect users and partners from abuse across various Google products including Search, Maps, Gmail, and Google Ads.

Key responsibilities include solving complex problems using data and statistical methods, identifying and preventing fraud and abuse, improving tools and automated systems, and developing scalable safety solutions for AI products. You'll also be applying advanced machine learning and AI techniques to enhance Google's protection measures.

The role offers a competitive salary range of $117,000-$172,000, plus bonus, equity, and benefits. It requires a bachelor's degree (master's preferred) and at least 2 years of relevant experience. Proficiency in languages like SQL, R, Python, or C++ is highly valued.

Join Google's diverse team of abuse-fighting and user trust experts, working globally to make the internet a safer place. This challenging role offers the opportunity to make a significant impact on user safety and trust across Google's vast product ecosystem.

Last updated 2 months ago

Responsibilities For Engineering Analyst II, AI Safety

  • Solve complex problems using data and statistical methods
  • Identify and prevent fraud and abuse
  • Improve tools and automated systems through data analysis, technical expertise, 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 thoroughly examine Google's protection measures, uncover potential shortcomings, and develop insights for continuous security enhancement

Requirements For Engineering Analyst II, AI Safety

Python
  • Bachelor's degree or equivalent practical experience
  • 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data
  • 2 years of experience managing projects and defining project scope, goals, and deliverables

Benefits For Engineering Analyst II, AI Safety

Medical Insurance
Dental Insurance
Vision Insurance
  • Bonus
  • Equity
  • Benefits package

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