Engineering Analyst, Trust and Safety

About the Job

As an Engineering Analyst within Google's Trust and Safety team, you will be part of a global team dedicated to ensuring the seamless detection and enforcement of the most egregious online harms, such as child sexual abuse materials, non-consensual intimate imagery, and violent extremism. You will partner closely with Product, Engineering, Policy, and Legal teams, leveraging your technical expertise to design and develop innovative solutions that enhance Google's capacity to combat abuse worldwide.

The Trust & Safety team at Google is composed of abuse-fighting and user trust experts who work daily to make the internet a safer place. We collaborate with teams across Google to deliver bold solutions in critical areas like malware, spam, and account hijacking. Our diverse team of Analysts, Policy Specialists, Engineers, and Program Managers is committed to reducing risk and fighting abuse across all Google products, protecting users, advertisers, and publishers globally in over 40 languages.

Google works tirelessly to earn user trust every day. This role is crucial in upholding that trust by identifying and tackling significant challenges to the safety and integrity of Google's products. You will apply technical know-how, exceptional problem-solving skills, user insights, and proactive communication to safeguard users and partners across Google products like Search, Maps, Gmail, and Google Ads. This position requires a big-picture thinker and strategic team player with a passion for integrity, working globally and cross-functionally with Google engineers and product managers to combat abuse and fraud with urgency, promoting trust and ensuring the highest levels of user safety.

The US base salary range for this full-time position is $126,000-$181,000 + bonus + equity + benefits. Salary ranges are determined by role, level, and location. Individual pay is based on work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can provide specific salary range details for your preferred location. Note that compensation details reflect base salary only, not bonus, equity, or benefits. Comprehensive benefits include health, dental, vision, life, and disability insurance; 401(k) with company match; paid time off (20 days vacation, accruing at 6.15 hours/pay period for 5 years; 40 hours/year sick time, plus 5 days/event discretionary sick time); maternity leave (28-30 weeks); baby bonding leave (18 weeks); and 13 paid holidays per year.

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.
• Experience with one or more of the following languages: SQL or Python.

Preferred Qualifications

• Master's degree in a quantitative discipline.
• Experience with scripting language, machine learning tools, techniques, and systems (including large language models).
• Knowledge of current abuse techniques and practices.
• Ability to work with a variety of stakeholders to gather requirements, explain models, and iterate to make improvements.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
• Excellent communication with an ability to describe technical implementations or analyses to a non-technical audience.

Responsibilities

• Perform data analyses to derive insights that help identify emerging threats and fight abuse across Google products.
• Identify opportunities for the improvement of Google’s detection and enforcement systems as well as for automation.
• Lead multiple interdependent projects of moderate to high complexity and scope. Work cross-functionally to ensure coordination and alignment on objectives and key results.
• Analyze statistics (e.g., precision, recall) about the performance of technical models (ML systems, classifiers, LLMs) and recognize nuanced, easily missed problems in the performance of these systems.
• Review or be exposed to sensitive or graphic content as part of core role.

Key skills/competency

• Data Analysis
• SQL
• Python
• Machine Learning
• Large Language Models (LLMs)
• Abuse Detection
• System Improvement
• Project Management
• Cross-functional Collaboration
• Problem-Solving