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Google
Google

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

Staff Software Engineer, Search Ads, Wholepage Optimization

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
  • Be curious and drive to make 10x better ads experiences compared to what we have today in the world of AI.

  • Think from a product and user-first perspective and be able to solve issues across the full stack (backend, frontend, etc).

  • Leverage Gemini extensively to improve the overall experiences, in partnership with teams across Deepmind.

  • Iterate on new ideas very quickly and effectively collaborate with teams across search and ads and Cross-functional (xfn) partners

  • Product Manager (PM), Data Scientist (DS) and User Experience (UX).

  • Lead both people management and individual technical contributions as a Tech Lead, with prior people management experience being preferred but not required.

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience in programming in C++.

  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

  • 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

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关于Google

Google

Google

Public

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