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Applied Scientist Intern, International Technology, 2026 Beijing

Amazon

Applied Scientist Intern, International Technology, 2026 Beijing

Amazon

Beijing, 11, CHN

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Team events and activities

Parental leave

401(k) matching

Equity

Parental Leave

Required Skills

JavaScript

TypeScript

PostgreSQL

职位:Applied scientist 应用科学家实习生
毕业时间:2026年10月 - 2027年7月之间毕业的应届毕业生
· 入职日期:2026年6月及之前
· 实习时间:保证一周实习4-5天全职实习,至少持续3个月
· 工作地点:北京朝阳区
投递须知:
1 填写简历申请时,请把必填和非必填项都填写完整。提交简历之后就无法修改了哦!
2 学校的英文全称请准确填写。中英文对应表请查这里(无法浏览请登录后浏览)https://docs.qq.com/sheet/DVmdaa1BCV0RBbnlR?tab=BB08J2
如果您正在攻读计算机,AI,ML或搜索领域专业的博士或硕士研究生,而且对应用科学家的实习工作感兴趣。如果您也喜爱深入研究棘手的技术问题并提出解决方案,用成功的产品显著地改善人们的生活。
那么,我们诚挚邀请您加入亚马逊的International Technology搜索团队改善Amazon的产品搜索服务。我们的目标是帮助亚马逊的客户找到他们所需的产品,并发现他们感兴趣的新产品。
这会是一份收获满满的工作。您每天的工作都与全球数百万亚马逊客户的体验紧密相关。您将提出和探索创新,基于TB级别的产品和流量数据设计机器学习模型。您将集成这些模型到搜索引擎中为客户提供服务,通过数据,建模和客户反馈来完成闭环。您对模型的选择需要能够平衡业务指标和响应时间的需求。

Basic Qualifications

  • 正在攻读计算机工程,计算机科学,机器学习,AI或相关领域的博士学位。
  • 有机器学习实验设计和统计分析的经验。
  • 有使用代码和工具实现算法的经验。
  • 有Java,C ++或其他编程语言,以及Python或类似脚本语言的经验。

Preferred Qualifications

  • 在顶级会议或者期刊上有论文发表。
  • 技术视野好;能与技术团队成员深入讨论概念和算法,并对应用问题提出恰当的解决方案。
  • 出色的批判性思维能力;能以口头和书面形式清楚地向团队沟通您的技术方案。
    Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L4

0 reports

$181,968

total / year

Base

-

Stock

-

Bonus

-

$154,672

$209,264

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge