Senior Machine Learning Engineer, TikTok BRIC Community Health

What you'll do

• Develop machine learning solutions to mitigate risks such as abusive accounts, fake engagement, spam, scraping, and fraud.
• Improve modeling infrastructure, labels, features, and algorithms for robustness, automation, and generalization.
• Advance risk modeling capabilities, including interpretability, privacy and compliance, and adversarial robustness.

What they ask for

• Master's degree or above in Computer Science, Statistics, Machine Learning, or another relevant technical field.
• 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; experience with large-scale data processing technologies such as Spark, Hadoop, or Hive.
• Strong machine learning fundamentals, with research or hands-on experience in a listed area such as deep learning, graph learning, or unsupervised/self-supervised learning.

Nice to have

• Industry experience in risk, fraud, spam, abuse detection, or related areas; large-scale machine learning systems experience.
• Hands-on experience with LLMs, generative AI, or agent development; relevant research publications or strong research experience.

Tools

Python, Java, C++, Go, Spark, Hadoop, Hive

AI focus

Machine learning for risk detection and mitigation, with work on model robustness, automation, generalization, interpretability, privacy, compliance, and adversarial robustness. LLMs, generative AI, and agent development are preferred experience areas.