
Organizing the world's information and making it universally accessible.
Senior Staff Software Engineer, AI/ML, IAM
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Lead the end-to-end design and implementation of large-scale GCP authorization systems using AI/ML tools.
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Partner with product managers and engineering leads to define long-term goal and execute complex technical projects in a fast-paced environment.
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Build and operate hyper-reliable, high-performance infrastructure to ensure intuitive and consistently accurate access control.
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Provide leadership across the full development lifecycle, from requirement definition and design to integration, launch, and support.
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Foster collaborative environment while actively mentoring and developing team members.
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Bachelor’s degree or equivalent practical experience.
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8 years of experience in software development.
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7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
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5 years of experience with design and architecture; and testing/launching software products.
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3 years of experience with generative AI agents.
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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
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