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Google
Google

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

Senior Staff Software Engineer, AI/ML, IAM

职能机器学习
级别Staff+
方式现场办公
类型全职
发布3周前
立即申请
  • Lead the end-to-end design and implementation of large-scale GCP authorization systems using AI/ML tools.

  • Partner with product managers and engineering leads to define long-term goal and execute complex technical projects in a fast-paced environment.

  • Build and operate hyper-reliable, high-performance infrastructure to ensure intuitive and consistently accurate access control.

  • Provide leadership across the full development lifecycle, from requirement definition and design to integration, launch, and support.

  • Foster collaborative environment while actively mentoring and developing team members.

  • Bachelor’s degree or equivalent practical experience.

  • 8 years of experience in software development.

  • 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).

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

  • 3 years of experience with generative AI agents.

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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

Junior/L3

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Data Scientist L3

0份报告

$176,704

年薪总额

基本工资

-

股票

-

奖金

-

$150,298

$203,110

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