Engineering Data Analyst, Trust and Safety, AI Safety

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 2 years of experience managing projects and defining project scope, goals, and deliverables.
  
• 2 years of experience in data science, employing machine learning techniques, identifying trends, and drawing actionable insights from quantitative and qualitative data.
  
• Experience with a programming language (e.g., Python or R) and SQL.
  

Preferred qualifications:

• Master’s degree or PhD in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, etc.).
  
• 5 years of experience in a data analysis or data science setting.
  
• Experience in abuse and fraud disciplines, web security, harmful content moderation, and threat analysis.
• Experience applying machine learning techniques to datasets.
• Experience with engineering and fine-tuning LLMs.
  

About the job

Trust & 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.

The Trust and Safety AI Safety Protections team safeguards experiences across Google products for all users and enterprise clients. By developing and deploying safety classifiers, both server-side and on-device, the team ensures the distribution of safe and policy-compliant content with a data-driven approach to problem-solving.

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 benefits at Google.

Responsibilities

• Develop scalable safety solutions for AI products across Google by leveraging machine learning and AI techniques.
  
• Apply statistical and data science methods to examine Google's protection measures, uncover potential issues, and develop insights for security enhancement.
  
• Drive business outcomes by crafting compelling data stories for a variety of stakeholders and senior leadership.
  
• Develop automated data pipelines and self-service dashboards to provide insights at scale.
  
• Work with sensitive content or situations and possibly graphic, controversial, or upsetting topics or content.