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职位Google

Senior Staff Software Engineer, Tech Lead, Ads Safety

Google

Senior Staff Software Engineer, Tech Lead, Ads Safety

Google

·

On-site

·

Full-time

·

2w ago

  • Design, build, and maintain highly scalable, low-latency, and reliable systems for real-time Ad scanning, detection, and enforcement. Own the full life-cycle of the systems.

  • Lead the technical direction for the actor safety organization, this includes leading complex projects, from initial design to production deployment. Mentor engineers, conduct code and design reviews, and set a high bar for engineering excellence.

  • Partner with product managers, and trust and safety to understand emerging threats and build effective, scalable solutions.

  • Develop and implement sophisticated detection logic, models, and tools to combat abuse vectors, including account takeovers and fraudulent payments, and malicious ad creatives.

  • Build and support data pipelines and ML infrastructure that power the detection models, enabling rapid model iteration and deployment.

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience in software development.

  • 5 years of experience with design and architecture, and testing/launching software products.

  • 3 years of experience working in Trust and Safety, Ads, Anti-Fraud, Anti-Spam, or a similar security-focused domain.

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关于Google

Google

Google

Public

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

4.5

10条评价

工作生活平衡

3.2

薪酬

4.3

企业文化

4.1

职业发展

4.2

管理层

3.8

82%

推荐给朋友

优点

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

缺点

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

薪资范围

57,503个数据点

Mid/L4

Mid/L4 · Accessibility Analyst

1份报告

$214,500

年薪总额

基本工资

$165,000

股票

-

奖金

-

$214,500

$214,500

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