Jobs
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
·
1mo ago
Benefits & Perks
•Annual team offsites
•Flexible PTO policy
•Health, dental, and vision coverage
•Parental leave program
Required Skills
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
Contact & Location
Total Views
0
Apply Clicks
0
Mock Applicants
0
Scraps
0
Similar Jobs

Senior Machine Learning Engineer, Core Experience and Growth
Reddit · Remote - United States

Senior Manager, Machine Learning Engineering - GenAI
Airbnb · Gunnison, CO

Senior Staff Machine Learning Engineer, Communication & Connectivity
Airbnb · Gunnison, CO

Senior Machine Learning Engineer, Ads
Reddit · Remote - Ontario, Canada

2026 Masters Machine Learning / Artificial Intelligence Engineering Co-Op/Intern
AMD ·
About TikTok

TikTok
Late StageA short-form video entertainment app and social network platform
10,001+
Employees
Los Angeles
Headquarters
$220B
Valuation
Reviews
3.1
3 reviews
Work Life Balance
1.5
Compensation
2.0
Culture
1.2
Career
1.8
Management
1.0
5%
Recommend to a Friend
Pros
Limited positive feedback available
Company size allows for potential opportunities
Technology platform experience
Cons
Mass layoffs and poor handling of terminations
Unprofessional management and HR behavior
Exposure to traumatic content without adequate support
Salary Ranges
52 data points
Mid/L4
Senior/L5
Mid/L4 · Applied AI Product Data Scientist
1 reports
$273,000
total / year
Base
$210,000
Stock
-
Bonus
-
$273,000
$273,000
Interview Experience
4 interviews
Difficulty
3.5
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 25%
Negative 75%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Data Structures
News & Buzz
25-Year-Old TikTok Star Khaby Lame Sells His Media Company for Nearly $1B - observer.com
Source: observer.com
News
·
5w ago
TikTok users say they're being censored after new owners were announced. The company says it's a tech issue. - Reason Magazine
Source: Reason Magazine
News
·
5w ago
TikTok users can't upload anti-ICE videos. The company blames tech issues
HN
·
5w ago
·
1,490
·
1000
TikTok is investigating why some users can't write 'Epstein' in messages - NPR
Source: NPR
News
·
5w ago