招聘
Machine Learning Engineer Graduate (TikTok Shop Global E-Commerce, Risk Control) - 2026 Start (PhD)

Machine Learning Engineer Graduate (TikTok Shop Global E-Commerce, Risk Control) - 2026 Start (PhD)
Singapore
·
On-site
·
Full-time
·
2mo ago
福利待遇
•Unlimited Pto
•Healthcare
•Parental Leave
必备技能
Python
TensorFlow
PyTorch
Responsibilities
Team Introduction
The E-Commerce Risk Control (ECRC) team is missioned:
- To protect Tiktok E-Commerce users, including and beyond buyer, seller, creator;
- By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform;
- Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.
In this team you'll have a unique and exciting opportunity to have first-hand exposure to build scalable and robust, intelligent and privacy-safe, secure and product-friendly systems via AI technology and data science products. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at Tik Tok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Tik Tok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Key Responsibilities
- Develop machine learning solutions for identifying and preventing various fraudulent activities.
- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.
- Build data pipeline to enable scalable and real-time risk prevention.
- Analyze / test the effectiveness of the built solutions.
- Work in a cross-functional team setting to mitigate business risks.
- Work with relevant software platform to develop/deploy/monitor the models.
Qualifications
Minimum Qualifications
- Final year or recent PhD graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Good coding skills in one or more programming language.
Preferred Qualifications
- Familiar with machine learning frameworks such as scikit-learn, tensorflow, pytorch.
- Ability to think critically, rationally, and communicate in result-oriented, data-driven manner.
Additional Information
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com
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关于TikTok

TikTok
Late StageA short-form video entertainment app and social network platform
10,001+
员工数
Los Angeles
总部位置
$220B
企业估值
评价
3.8
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
4.1
职业发展
3.2
管理层
2.9
68%
推荐给朋友
优点
Great team dynamics and support
Innovative and creative culture
Good learning opportunities
缺点
Work-life balance challenges
Fast-paced and stressful environment
High expectations and tight deadlines
薪资范围
49个数据点
Mid/L4
Senior/L5
Mid/L4 · Applied AI Product Data Scientist
1份报告
$273,000
年薪总额
基本工资
$210,000
股票
-
奖金
-
$273,000
$273,000
面试经验
2次面试
难度
4.0
/ 5
时长
21-35周
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Behavioral Interview
5
Final Round
6
Offer
常见问题
Coding/Algorithm
Behavioral/STAR
Technical Knowledge
Culture Fit
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