Senior Machine Learning Engineer, TikTok BRIC Community Health
TikTok, San Jose, California
What you will do
- Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
- Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.
- Advance machine learning capabilities in areas such as risk perception and analysis, model interpretability, privacy and compliance, and adversarial robustness.
What you need
- Master's degree or above in Computer Science, Statistics, Machine Learning, or another relevant technical field, with at least 2 years of hands-on machine learning experience through industry, research, internships, or equivalent project work.
- Strong software engineering fundamentals and proficiency in Python or one of Java/C++/Go, with experience in large-scale data processing technologies such as Spark, Hadoop, or Hive.