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

TIKTOK PTE. LTD.; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading global tech company in Singapore is seeking talented graduates for a machine learning role focusing on risk mitigation. Candidates should have a degree in computer science or similar fields, solid engineering skills, and a background in machine learning. Responsibilities include building machine learning solutions to address business risks and enhancing modeling infrastructures. The ideal hiring model prioritizes creativity and inclusivity, fostering an environment for personal and professional growth.

Benefits

Diversity and inclusion initiatives

Career development opportunities

Qualifications

• Final year or recent graduate with a strong machine learning background.
• Proficiency in modern machine learning theories and applications.
• Ability to think critically and communicate data-driven insights.

Responsibilities

• Build machine learning solutions to mitigate business risks.
• Improve modeling infrastructures and algorithms.
• Enhance risk machine learning excellence.

Skills

Machine learning theories

Linux

Hadoop

Spark

Data-driven communication

Education

Degree in computer science or relevant field

Tools

Hadoop

Spark

Job description

Team Mission:

• 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.

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 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 privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy If you have any questions, please reach out to us at [e-mail]

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

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.