Machine Learning Engineer, TikTok BRIC
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.
Joinus.
The Business Risk Integrated Control (BRIC)team is missioned to:
- Protect ByteDance users,including and beyond content consumers, creators,advertisers;
- Secure platform health andcommunity experience authenticity;
- Buildinfrastructures, platforms and technologies, as well as tocollaborate with many cross-functional teams andstakeholders.
The BRIC team works to minimizethe damage of inauthentic behaviors on ByteDance platforms (e.g.TikTok, CapCut, Resso, Lark), covering multiple classical and novelcommunity 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 uniqueopportunity to have first-hand exposure to the strategy of thecompany in key security initiatives, especially in buildingscalable and robust, intelligent and privacy-safe, secure andproduct-friendly systems and solutions. Our challenges are not someregular day-to-day technical puzzles -- You'll be part of a teamthat's developing novel solutions to first-seen challenges of anon-stop evolvement of a phenomenal product eco-system. The workneeds to be fast, transferrable, while still down to the ground tomaking quick and soliddifferences.
Responsibilities
-Build machine learning solutions to respond to and mitigatebusiness risks in ByteDance products/platforms. Such risks includeand are not limited to abusive accounts, fake engagements, spammyredirection, scraping, fraud, etc.
- Improvemodeling infrastructures, labels, features and algorithms towardsrobustness, automation and generalization, reduce modeling andoperational load on risk adversaries and new product/riskramping-ups.
- Uplevel risk machine learningexcellence on privacy/compliance, interpretability, risk perceptionandanalysis.
Qualifications
-Master or above degree in computer science, statistics, or otherrelevant, machine-learning-heavy majors.
- Solidengineering skills. Proficiency in at least two of: Linux, Hadoop,Hive, Spark, Storm.
- Strong machine learningbackground. Proficiency or publications in modern machine learningtheories 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. Highautonomy.
TikTok is committed to creating aninclusive space where employees are valued for their skills,experiences, and unique perspectives. Our platform connects peoplefrom across the globe and so does our workplace. At TikTok, ourmission is to inspire creativity and bring joy. To achieve thatgoal, we are committed to celebrating our diverse voices and tocreating an environment that reflects the many communities wereach. We are passionate about this and hope you are too.
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Singapore TIKTOK PTE. LTD. Full timeWe are seeking a talented Machine Learning Engineer to join our Business Risk Integrated Control (BRIC) team at TikTok PTE. LTD.The ideal candidate will have a strong background in machine learning, with expertise in building scalable and robust solutions to mitigate business risks in our products and platforms.As a key member of the BRIC team, you will be...
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