採用

Applied Scientist Intern, International Technology, 2026 Beijing
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
PublicAmazon.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
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