
Organizing the world's information and making it universally accessible.
Senior Engineering Analyst, AI, Safety
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Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques.
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Apply statistical and data science methods to thoroughly examine Google's protection measures, uncover potential shortcomings, and develop actionable insights for continuous security enhancement.
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Drive business outcomes by crafting compelling data stories for a variety of stakeholders, including executive leadership.
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Provide technical leadership by fostering growth and ensuring success of junior team members through mentorship and guidance.
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Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.
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Bachelor's degree or equivalent practical experience.
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5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
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5 years of experience in data analysis or data science settings.
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Experience in programming languages (e.g., Python, R, Julia), database languages (e.g., SQL) and scripting languages (e.g., C/C++, Java).
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About Google

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
Junior/L3
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
L3
L4
L5
Junior/L3 · Data Scientist L3
0 reports
$176,704
total per year
Base
-
Stock
-
Bonus
-
$150,298
$203,110
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
Latest updates
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1w ago
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News
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1w ago
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News
·
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