TikTok
Machine Learning Engineer - TikTok BRIC ( Singapore )
Job Location
North East, Singapore
Job Description
Machine Learning Engineer - TikTok BRIC (Singapore) TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo. Why Join Us Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity to learn, innovate, and grow as one team. Responsibilities Build machine learning solutions to respond to and mitigate business risks in ByteDance products/platforms, including abusive accounts, fake engagements, spammy redirection, scraping, and fraud. Improve modeling infrastructures, labels, features, and algorithms towards robustness, automation, and generalization, reducing modeling and operational load on risk adversaries and new product/risk ramping-ups. Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception, and analysis. Qualifications Master's or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors. Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm. Strong machine learning background. Proficiency or publications 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, and rationally. Reason and communicate in a result-oriented, data-driven manner. High autonomy. TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our J-18808-Ljbffr
Location: North East, SG
Posted Date: 5/1/2025
Location: North East, SG
Posted Date: 5/1/2025
Contact Information
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