Role OverviewThe Senior Machine Learning Engineer will be part of the Business Risk Integrated Control (BRIC) team, responsible for developing machine learning solutions to mitigate business risks in TikTok products and platforms. The team works to minimize the impact of inauthentic and abusive behaviors across TikTok products and platforms.
What You Will Do
Build machine learning solutions to respond to and mitigate business risks, improve modeling infrastructures, labels, features, and algorithms towards robustness, automation, and generalization, and advance machine learning capabilities in areas such as risk perception and analysis, model interpretability, privacy, and compliance.
Why It Might Be a Fit
The ideal candidate will have strong machine learning fundamentals, problem-solving and analytical skills, and the ability to reason and communicate in a result-oriented and data-driven manner. They will also have natural curiosity, a strong passion for solving complex problems, and the ability to work effectively across cross-functional teams.
Requirements
- 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
- Strong software engineering fundamentals and proficiency in Python or one of Java/C++/Go
- Experience in large-scale data processing technologies such as Spark, Hadoop, or Hive
- Strong machine learning fundamentals and research or hands-on experience in areas such as deep learning, representation learning, graph learning, sequence/time-series modeling, transfer/multi-task learning, or unsupervised/self-supervised learning
Benefits
- Competitive salary
- Equity
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
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