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Tik Tok

Machine Learning Engineer Graduate (Tik Tok BRIC) - 2026 Start (BS/MS)

3+ months ago• Singapore
Viewed on February 1, 2026
Apply on company site

About Us

Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

• Size: 5001-10000 employees
• Industry: Entertainment & Gaming, Social Media, Technology

View Company Profile:

Responsibilities:

The Business Risk Integrated Control (BRIC) team of Tik Tok, is missioned to:

• Protect Tik Tok users, including and beyond content consumers, creators, advertisers.
• Secure platform health and authenticity of community experience .
• Collaborate with cross-functional stakeholders to improve Tik Tok infrastructures, services, tools and algorithms, towards a higher standard of The BRIC team works to measure and minimize the damage implied by inauthentic behaviors on Tik Tok and its extended platforms, covering multiple classical and novel integrity/security areas such as fake accounts, fake traffic, spam, scraping, cyberbullying, live room risks, incentive fraud, monetization abuse, etc.

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.

Job Responsibilities:

• Build machine learning solutions to respond to and mitigate business risks in Byte Dance products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.

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• Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.

• Level up risk machine learning excellence on Qualifications

• Minimum Qualifications

• Final year or recent graduate with a background in computer science, statistics, or other relevant, machine-learning-heavy majors.

• Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm.

• Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning.

• Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

• Preferred Qualifications

• Research experience in one or more of the following fields: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product.

• Strong publications record in top conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, etc) and journals (e.g., TPAMI, JMLR)

• Track record of high impact research

By submitting an application for this role, you accept and agree to our global applicant If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

Client-provided location(s): Singapore Job ID: Tik Tok-7532027352008837394Employment Type: OTHERPosted: 2025-07-29T01:28:02Apply on company site

Perks and Benefits

Health and Wellness

• Health Insurance
• Dental Insurance
• Vision Insurance
• HSA
• Life Insurance
• Fitness Subsidies
• Short-Term Disability
• Long-Term Disability
• On-Site Gym
• Mental Health Benefits
• Virtual Fitness Classes

Parental Benefits

• Fertility Benefits
• Adoption Assistance Program
• Family Support Resources

Work Flexibility

• Flexible Work Hours
• Hybrid Work Opportunities

Office Life and Perks

• Casual Dress
• Snacks
• Pet-friendly Office
• Happy Hours
• Some Meals Provided
• Company Outings
• On-Site Cafeteria
• Holiday Events

Vacation and Time Off

• Paid Vacation
• Paid Holidays
• Personal/Sick Days
• Leave of Absence

Financial and Retirement

• 401(K) With Company Matching
• Performance Bonus
• Company Equity

Professional Development

• Promote From Within
• Access to Online Courses
• Leadership Training Program
• Associate or Rotational Training Program
• Mentor Program

Diversity and Inclusion

• Diversity, Equity, and Inclusion Program
• Employee Resource Groups (ERG)

Company Videos

Hear directly from employees about what it is like to work at Tik Tok.
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• 02:18Working at Tik Tok- Get Ready With Ali01:20Tik Tok Client Provided Video 100:33Client Provided Video 2 - Tik Tok02:07Working at Tik Tok
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