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Urgent! Machine Learning Engineer Graduate (TikTok BRIC) - 2026 Start (BS/MS) Job Opening In Singapore, Singapore – Now Hiring TikTok
The Business Risk Integrated Control (BRIC) team of TikTok, is missioned to:- Protect TikTok users, including and beyond content consumers, creators, advertisers.
- Secure platform health and authenticity of community experience .
- Collaborate with cross-functional stakeholders to improve TikTok infrastructures, services, tools and algorithms, towards a higher standard of privacy and security.
The BRIC team works to measure and minimize the damage implied by inauthentic behaviors on TikTok 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 TikTok.
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 TikTok 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 ByteDance products/platforms.
Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
- 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 privacy/compliance, interpretability, risk perception and analysis.
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 (., NeurIPS, ICML, ICLR, CVPR, etc) and journals (., TPAMI, JMLR)
- Track record of high impact research By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https:///legal/privacy If you have any questions, please reach out to us at
✨ Smart • Intelligent • Private • Secure
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 1442 jobs in Singapore and 1294 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! TikTok is currently hiring and seeking a Machine Learning Engineer Graduate (TikTok BRIC) 2026 Start (BS/MS) to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer Graduate (TikTok BRIC) 2026 Start (BS/MS) Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at TikTok adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer Graduate (TikTok BRIC) 2026 Start (BS/MS) Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer Graduate (TikTok BRIC) 2026 Start (BS/MS) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Machine Learning Engineer Graduate (TikTok BRIC) 2026 Start (BS/MS) interview at TikTok, research the company, understand the job requirements, and practice common interview questions.
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