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Google
Google

Organizing the world's information and making it universally accessible.

Staff Engineering Analyst, Gen AI Trust and Safety

职能工程
级别Staff+
方式现场办公
类型全职
发布3周前
立即申请
  • Collaborate with Search GenAI teams on project scoping, risk assessments and prioritization lead projects and cross-functional initiatives within Google, interacting with executive stakeholders from engineering, legal, product teams and more.

  • Develop expertise in Search infrastructure, ranking signals and Search features, build Large Language Model (LLM) based models that can evaluate content safety according to our product policies

  • Design and implement product metrics to benchmark user trust risks and track improvements over time, create datasets for engineers to evaluate and improve sensitive content classifiers.

  • Deliver leadership and impact as for the broader Trust and Safety Search, Assistant & Geo team.Ability to review or be exposed to sensitive or violative content as part of core role

  • Fulfill on-call responsibilities on a rotating basis, including weekend coverage and holidays, when needed.

  • Bachelor's degree or equivalent practical experience.

  • 7 years of experience in trust and safety, risk mitigation, cybersecurity, or related fields.

  • 7 years of experience with one or more of the following languages: SQL, R, Python.

  • Experience with data analysis, statistical analysis and data science.

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关于Google

Google

Google

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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

10条评价

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%

推荐率

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

面试评价

9条评价

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