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Lead Machine Learning Engineer
2 months ago
About the Role
TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. As a Machine Learning Engineer on the BRIC team, you will play a critical role in protecting ByteDance users and securing platform health and community experience authenticity.
Key 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.
Requirements
- Master's degree or above 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, rationally, reason, and communicate in a result-oriented, data-driven manner, with high autonomy.
About MyCareersFuture
MyCareersFuture 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 MyCareersFuture, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and creating an environment that reflects the many communities we reach.
