Software Developer, Risk Data Mining - BRIC - Singapore

sumers, 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 minimise the damage of inauthentic behaviours 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.

Responsibilities

• Build rules, algorithms and machine learning models, 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.
• Establish reliable, efficient and modularized risk defense solutions, reduce manual workload on ramping up risk controls on/against new business, risk area, or abusive means.
• Uplevel risk defence excellence on privacy/compliance, machine learning, risk perception and analysis, achieve in-depth defence portfolio.

Qualifications

• Bachelor or degrees above in computer science, computer engineering, electrical engineering, statistics or other relevant majors (e.g. finance if applying for applying for financial fraud roles).
• Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm.
• Familiarity with data mining, data science or machine learning. Bonus given to proficiency 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 and communicate in result-oriented, data-driven manner. High autonomy.
• Minimum 3 - 5 years relevant work experience from a large-scale internet business

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.