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Google
Google

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

Senior Software Engineer, AI/ML, Search Ads

职能机器学习
级别资深
方式现场办公
类型全职
发布3周前
立即申请
  • Write and test product or system development code.

  • Develop and optimize bidding models to enhance and simplify the machine learning models.

  • Innovate the Model Life-cycle to drive improvements in quality, stability, and efficiency across all stages of model development, from initial concept to global deployment.

  • Design and execute advanced experiments using sophisticated investigative and statistical methods to solve complex machine learning challenges.

  • Enhance code health, develop automation processes, and refine alerting systems to guarantee model stability and peak performance.

  • Bachelor’s degree or equivalent practical experience.

  • 5 years of experience with software development in C++ or Python.

  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

  • 3 years of experience with one or more of the following: sequence modeling, deep learning, natural language processing (NLP), reinforcement learning, or building machine learning models in production.

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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

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