Engineering Analyst II, AI Safety

3 Months ago • 4-6 Years • Data Analyst • $117,000 PA - $172,000 PA

Job Summary

Job Description

The Engineering Analyst II, AI Safety role focuses on using data and statistical methods to solve complex problems, prevent fraud and abuse, and improve automated systems. This involves developing scalable safety solutions for AI products, applying data science methods to examine Google's protection measures, and uncovering potential shortcomings. The role requires collaboration with stakeholders, leveraging machine learning and AI techniques to enhance security. Exposure to sensitive, graphic, or controversial content is expected. The position requires strong problem-solving and communication skills, and experience in data analysis, project management, and potentially programming languages like SQL, R, Python, or C++ and machine learning systems.
Must have:
  • Bachelor's degree or equivalent experience
  • 2 years data analysis experience
  • 2 years project management experience
  • Problem-solving skills
  • Excellent communication skills
Good to have:
  • Master's degree in quantitative discipline
  • Experience with SQL, R, Python, or C++
  • Machine learning systems experience
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • 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.

Preferred qualifications:

  • Master's degree in a quantitative discipline or equivalent practical experience.
  • 2 years of experience with one or more of the following languages: SQL, R, Python, or C++.
  • 2 years of experience with machine learning systems.
  • Excellent problem-solving skills with attention to detail in a fluid environment.
  • Excellent written and verbal communication skills.

About the job

Trust and Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

Our mission is to protect GenAI products with robust safety filters and apply AI to combat harmful content.

This role works with sensitive content or situations and will be exposed to graphic, controversial, or upsetting topics or content.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A diverse team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

The US base salary range for this full-time position is $117,000-$172,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • 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.

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