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1 month ago
Why Join Us
Creationis the core of TikTok's purpose. Our platform is built to helpimaginations thrive. This is doubly true of the teams that makeTikTok possible. Together, we inspire creativity and bring joy - amission we all believe in and aim towards achieving every day. Tous, every challenge, no matter how difficult, is an opportunity; tolearn, to innovate, and to grow as one team. Status quo? Never.Courage? Always. At TikTok, we create together and grow together.That's how we drive impact - for ourselves, our company, and thecommunities we serve. Join us.
The Business RiskIntegrated Control (BRIC) team is missioned to:
- Protect ByteDance users, including and beyondcontent consumers, creators, advertisers;
-Secure platform health and community experience authenticity;
- Build infrastructures, platforms andtechnologies, as well as to collaborate with many cross-functionalteams and stakeholders.
The BRIC team works tominimize the damage of inauthentic behaviors on ByteDance platforms(e.g. TikTok, CapCut, Resso, Lark), covering multiple classical andnovel community and business risk areas such as account integrity,engagement authenticity, anti spam, API abuse, growth fraud, livestreaming security and financial safety (ads or e-commerce), etc.
In this team you'll have a unique opportunityto have first-hand exposure to the strategy of the company in keysecurity initiatives, especially in building scalable and robust,intelligent and privacy-safe, secure and product-friendly systemsand solutions. Our challenges are not some regular day-to-daytechnical puzzles -- You'll be part of a team that's developingnovel solutions to first-seen challenges of a non-stop evolvementof a phenomenal product eco-system. The work needs to be fast,transferrable, while still down to the ground to making quick andsolid differences.
Responsibilities
- Build machine learning solutions to respondto and mitigate business risks in ByteDance products/platforms.Such risks include and are not limited to abusive accounts, fakeengagements, spammy redirection, scraping, fraud, etc.
- Improve modeling infrastructures, labels,features and algorithms towards robustness, automation andgeneralization, reduce modeling and operational load on riskadversaries and new product/risk ramping-ups.
-Uplevel risk machine learning excellence on privacy/compliance,interpretability, risk perception andanalysis.
Qualifications
-Master or above degree in computer science, statistics, or otherrelevant, machine-learning-heavy majors.
-Solid engineering skills. Proficiency in at least two of: Linux,Hadoop, Hive, Spark, Storm.
- Strong machinelearning background. Proficiency or publications in modern machinelearning theories and applications such as deep neural nets,transfer/multi-task learning, reinforcement learning, time seriesor graph unsupervised learning.
- Ability tothink critically, objectively, rationally. Reason and communicatein result-oriented, data-driven manner. High autonomy.
TikTok is committed to creating an inclusivespace where employees are valued for their skills, experiences, andunique perspectives. Our platform connects people from across theglobe and so does our workplace. At TikTok, our mission is toinspire creativity and bring joy. To achieve that goal, we arecommitted to celebrating our diverse voices and to creating anenvironment that reflects the many communities we reach. We arepassionate about this and hope you are too.
