Responsibilities
The Business Risk Integrated Control (BRIC) team is missioned:
- To protect TikTok users, including and beyond content consumers, creators, advertisers;
- By securing platform health and community experience authenticity;
- Through building 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 TikTok, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti spam, API and growth health, 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.
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Responsibilities
- Work on infrastructure and tools to enable construction, deployment, and serving of risk defence algorithms and machine learning models at scale. Improve capacities of risk prevention, perception and remediation across various TikTok businesses.
- Build tools and automated procedures to support risk analytics and defence enforcement.
- Keep risk control solutions state-of-art on fronts of data security, modularisation, privacy and compliance. Help improve end-to-end risk service/platform/tooling SLA.
Qualifications
Minimum Qualifications
- Bachelor or degrees above in Computer Science, Computer Engineering, Programming Language, High Performance Computing, Security Research or other relevant majors.
- Solid coding skills and experience with building distributed systems. Proficiency in one or more tools of Linux, Spark, Flink, Kubernetes; can quickly pick up others.
- Experience of strong industry experience in building distributed backend systems at scale. Successful tracking records in solving infrastructure pain-points (e.g. complex I/O requirements). Strong coding (backend, infra, algorithm) and system design ability.
Preferred Qualifications
- Bonus given to familiarity with machine learning infrastructure or applications, or social/content platform realtime stream computing systems.
- Bonus given to proficient user of Go or Rust.
- Consistently showing ownership. Proactive and skillful in communication.
- Experience from a large-scale internet business