PhD Intern Machine Learning Engineer - TikTok BRIC (Singapore) - 2025 Start

us.

The Business Risk Integrated Control (BRIC) team is missioned to:

• Protect ByteDance users, including and beyond content consumers, creators, advertisers;
• Secure platform health and community experience authenticity;
• Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.

The BRIC team works to minimize the damage of inauthentic behaviors on ByteDance platforms (e.g. TikTok, CapCut, Resso, Lark), covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti spam, API abuse, growth fraud, live streaming security and financial safety (ads or e-commerce), etc.

In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. 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. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.

We are looking for talented individuals to join us for an internship in 2025. PhD Internships at TikTok aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.

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.

Successful candidates must be able to commit to at least 3 months long internship period.

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.

Qualifications

Minimum Qualifications

• Currently pursuing a PhD in Computer Science, engineering or quantitative field
• 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.
• Publications record in top conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, etc) and journals (e.g., TPAMI, JMLR) would be an advantage
• Track record of high impact research would be an advantage

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

For TikTok
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.

For TikTok
If you have any questions, please reach out to us at [email protected]

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