Assist in designing and maintaining core indicator systems for platform content security and risks, including content violations, user feedback, account risks, etc.; Participate in building monitoring and anomaly attribution systems, learning to quickly identify and analyze security incidents;
Learn to apply statistical scientific methods, including A/B testing, causal inference, regression analysis, etc., to assist in evaluating the effectiveness of various security strategies; Participate in experimental result analysis to provide data support for business decisions;
Under guidance, conduct quantitative analysis for specific business challenges, using data mining techniques to identify potential optimization opportunities; Collaborate with product, operations, algorithm and other teams to transform analytical insights into actionable improvement plans;...
Assist in designing and maintaining core indicator systems for platform content security and risks, including content violations, user feedback, account risks, etc.; Participate in building monitoring and anomaly attribution systems, learning to quickly identify and analyze security incidents;
Learn to apply statistical scientific methods, including A/B testing, causal inference, regression analysis, etc., to assist in evaluating the effectiveness of various security strategies; Participate in experimental result analysis to provide data support for business decisions;
Under guidance, conduct quantitative analysis for specific business challenges, using data mining techniques to identify potential optimization opportunities; Collaborate with product, operations, algorithm and other teams to transform analytical insights into actionable improvement plans;...
Monitor key performance metrics, building robust reporting models for effective tracking, evaluation, and continuous improvement.
Conduct deep-dive RCA for fraud metric anomalies, collaborate with product/algo/engineering teams to optimize detection mechanism, and deliver actionable mitigation actions.
Leverage AI tools to build scalable data assets to facilitate monitoring and analytics....
Monitor key performance metrics, building robust reporting models for effective tracking, evaluation, and continuous improvement.
Conduct deep-dive RCA for fraud metric anomalies, collaborate with product/algo/engineering teams to optimize detection mechanism, and deliver actionable mitigation actions.
Leverage AI tools to build scalable data assets to facilitate monitoring and analytics....
Support labeling projects and uphold efficiency and quality by preparing and monitoring key project metrics
Skillfully use business platforms and other tools to monitor and analyze the progress of the project in time to ensure the successful delivery of the project;...
Currently pursuing PhD in Computer Science, AI, Mathematics, or a related technical discipline, with a strong foundation in data structures, algorithms, and mathematical modeling.
AI/ML Expertise: Solid understanding and research experience in Deep Learning, NLP, CV, Reinforcement Learning, Generative Models, or Multimodal Learning.
Priority will be given to candidates with publications in international AI/CS conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, KDD, SIGIR, WWW) or top rankings in recognized algorithmic competitions....
Currently pursuing PhD in Computer Science, AI, Mathematics, or a related technical discipline, with a strong foundation in data structures, algorithms, and mathematical modeling.
AI/ML Expertise: Solid understanding and research experience in Deep Learning, NLP, CV, Reinforcement Learning, Generative Models, or Multimodal Learning.
Priority will be given to candidates with publications in international AI/CS conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, KDD, SIGIR, WWW) or top rankings in recognized algorithmic competitions....