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Google
Google

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

Senior Engineering Analyst, Safe Browsing, Applied AI

RoleEngineering
LevelSenior
WorkOn-site
TypeFull-time
Posted3 weeks ago
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  • Create and evaluate AI agents that will help Safe Browsing classify web pages and reduce operational costs.

  • Perform data analyses to identify harmful entities, design and implement key performance metrics, examine trends, and identify system vulnerabilities.

  • Analyze potentially malicious websites to understand their behavior and impact on users, embracing technologies like LLMs to enhance our ability to fight abuse and phishing at scale.

  • Collaborate with, mentor, and provide guidance to global team members.

  • Review or manage exposure to sensitive or violative content as a core part of the role.

  • Bachelor's degree or equivalent practical experience.

  • 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

  • Experience with SQL, Python, or other programming/scripting languages to manipulate datasets.

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

10 reviews

4.5

10 reviews

Work-life balance

3.2

Compensation

4.3

Culture

4.1

Career

4.2

Management

3.8

82%

Recommend to a friend

Pros

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

Cons

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

Salary Ranges

57,503 data points

Mid/L4

Mid/L4 · Accessibility Analyst

1 reports

$214,500

total per year

Base

$165,000

Stock

-

Bonus

-

$214,500

$214,500

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense