Machine Learning Engineer Graduate (TikTok BRIC Singapore) - 2027 Start

Responsibilities

TikTok is a world-leading short-video and live streaming platform serving hundreds of millions of users globally. By joining the BRIC (Business Risk Integrity Control) team, you will work in one of the industry's most challenging risk environments, where massive scale, high concurrency, evolving abuse patterns and global adversarial ecosystems continuously reshape the landscape.

You will build the next generation of intelligent, data-driven risk defense systems, combining strategy, product thinking and AI to safeguard the health of the global content ecosystem and continuously raise the industry's standard for risk governance.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. 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 our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

• Design and develop intelligent risk detection and mitigation solutions for TikTok's global ecosystem across multiple product scenarios, including short-form video, LIVE, social interaction, and emerging products, with a focus on identifying and preventing abusive and fraudulent activities (e.g. scams, gambling, pornography, fake engagement, and other policy-violating behaviors).
• Build and deploy large-scale AI/ML models leveraging Computer Vision (CV), Natural Language Processing (NLP), sequential learning, graph learning, and multimodal technologies to detect high-risk users, content, and behaviors from massive-scale images, videos, text, user interactions, and social networks.
• Research and develop next-generation risk intelligence and anti-abuse algorithms by mining complex behavioral patterns, modeling adversarial attack strategies, and proactively discovering emerging threats to continuously enhance the security and integrity of TikTok's ecosystem.
• Collaborate closely with product, engineering, data science, and operations teams to transform cutting-edge AI technologies into production-ready risk control solutions with measurable business impact.
• Continuously improve model performance through offline analysis, online experimentation, and large-scale data mining, balancing detection effectiveness, latency, scalability, and user experience.
• Stay at the forefront of AI and trust & safety technologies, exploring the application of LLMs, multimodal foundation models, graph learning, and agentic AI to solve real-world security and abuse challenges.
  
  

Qualifications

Minimum Qualification(s):

• Solid understanding and hands-on experience in one or more AI/ML domains, including Computer Vision (CV), Natural Language Processing (NLP), Sequence Modeling, Graph Learning, Large Language Models (LLMs), or related fields.
• Proficient in one or more programming languages such as Python, C++, or Java, with strong software engineering fundamentals. Familiar with big data processing frameworks (e.g., Hive, Spark, Flink) and experienced in working with large-scale data pipelines and distributed systems.
• Hands-on experience in developing, training, evaluating, and deploying machine learning or deep learning models. Ability to translate algorithms into production solutions and validate their effectiveness through offline and online evaluation.
• Strong analytical thinking and problem-solving skills, with the ability to work independently on complex, ambiguous problems in large-scale production environments.
  
  

Preferred Qualification(s):

• Experience in Trust & Safety, Risk Control, Fraud Detection, Content Moderation, or related security domains is preferred.
• Experience applying AI technologies (e.g., LLMs, CV, NLP, Graph Learning, AI Agents) to build intelligent products or solve large-scale real-world business problems.
• Familiarity with risk control strategies, user behavior analysis, anomaly detection, or large-scale online machine learning systems is a plus.
  
  

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

Job Information

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.