Machine Learning Engineer (Community Health) - TikTok BRIC Singapore

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,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.

Responsibilities:

- Handling various business security issues on TikTok-related product lines (short video/live streaming/social engagement, etc.), and identifying fraudulent users, including those involved in pornography, fraud, gambling, and other violative activities.

- Utilize AI technologies such as CV/NLP/sequence/graph models to develop and deploy models across various TikTok scenarios, identifying risky users and content from massive amounts of images, videos, text, behaviors, and social relationships.

- Develop industry-leading risk control solutions to combat fraudulent users, analyze and mine potential data patterns, establish a perception system for attacks, and proactively identify business risks to safeguard the business.

Qualifications:

Minimum Qualifications

- In-depth research in one of the fields of CV/NLP/Sequence/Graph, including but not limited to: image/video classification and recognition, object detection, unsupervised/semi-supervised learning, text classification, text mining, sequence modeling, graph models, etc.

- Familiar with one or more programming languages such as Python or C++, JAVA, with strong programming skills. Knowledge of big data processing technologies (Hive/Spark/Flink) and skilled at learning and applying industry-leading data architectures and technologies.

- Strong hands-on practical skills, familiar with the training and deployment of deep learning models, and able to apply algorithms to risk control business and verify their effectiveness.

- Excellent problem-analysis and problem-solving skills, with a passion for solving challenging problems.

Preferred Qualifications
- Prior experience in risk control algorithm research and development is preferred.

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.