招聘
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.
The mission of our team is to protect Google's users and advertisers by making the ads ecosystem universally trusted and defended against invalid traffic and ensuring publishers comply with our policies.
In this role, you will defend Google's ad products from fraud and abuse. You will evaluate millions of publishers, analyze billions of events, and create scalable methods to stop bad actors and motivated fraudsters from causing harm. You will understand the users' point of view and will be passionate about using our technical, sales, and customer service acumen to protect them. You will also help users, advertisers, publishers, and Google harness information and monetize the internet safely and usefully.
The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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
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Lead and execute sophisticated investigations and analyses using advanced statistical methods and data sources to identify, characterize, and defend against novel fraud and abuse across Google's ad ecosystem.
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Partner closely with Engineering teams to improve ad traffic infrastructure, defense systems, and workflows. Proactively identify and help implement efficiency improvements through advanced machine learning techniques, scaled defenses, and automation.
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Drive full life-cycle projects across Product, Engineering, and Trust and Safety teams to prevent abuse by improving policies and closing product vulnerabilities.
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Work collaboratively with teammates around the globe and deliver projects from beginning to end in a timely manner.
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Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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5 years of experience in data analysis (e.g., identifying trends, generating summary statistics, drawing insights from quantitative and qualitative data, and designing experiments and automation).
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5 years of experience managing projects and defining project scope, goals, and deliverables.
Preferred qualifications
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Experience developing and deploying GenAI-based solutions.
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Experience in the digital advertising industry in a technical role.
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Experience with fraud and risk management or statistical and quantitative modeling.
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Experience applying Machine Learning (ML) and Artificial Intelligence (AI) in industry settings.
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Excellent written, verbal, and people management skills to communicate technical concepts and influence cross-regional and cross-functional stakeholders at all levels.
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Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
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关于Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
3.7
25条评价
工作生活平衡
3.8
薪酬
4.2
企业文化
3.4
职业发展
3.9
管理层
2.8
68%
推荐给朋友
优点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
缺点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
薪资范围
57,502个数据点
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0份报告
$176,704
年薪总额
基本工资
-
股票
-
奖金
-
$150,298
$203,110
面试经验
9次面试
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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