Senior Machine Learning Engineer, TikTok BRIC Account Security (Singapore)

Description

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.

Responsibilities:
- Take ownership of account security issues across TikTok and other overseas product lines (short video, live streaming, payment, e-commerce, local services, etc.).
- Leverage large-scale behavioral data from hundreds of millions of accounts, applying algorithms to mine massive datasets and identify various account security issues, including but not limited to fake registrations, account takeovers, account trading, account nurturing, and session hijacking.
- Analyze and uncover hidden data correlations to build an account risk perception framework, enabling early detection and rapid response to emerging risks.
- Contribute to the development of account risk control infrastructure, including data warehouses, feature engineering, and machine learning models.

Requirements

Minimum Qualifications:
- Master’s degree or above in Computer Science, Statistics, Artificial Intelligence, or a related field.
- Solid engineering skills. Proficiency in one or more programming languages such as C++, Java, or Python.
- Familiarity with big data technologies such as SQL/HQL, and hands-on experience with one of Hadoop, Hive, Spark, or Flink.
- Solid understanding of machine learning, deep learning, and large language models; knowledge of clustering, community detection, and related techniques, with the ability to validate algorithm effectiveness and apply them to risk control scenarios.

Preferred Qualifications:
- Prior experience in combating online fraud, abuse, or anti-cheating in the internet industry .
- Familiarity with emerging technologies such as large language models (LLMs) and AI Agents.