Machine Learning Engineer (Recommendation) ,TikTok e-Commerce Alliance

d algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading

• Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote ecological development
• Support the production of scalable and optimised AI/machine learning (ML) models
• Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm
• Work with the relevant software platforms in which the models are deployed

Qualifications

Minimum Qualifications:

• Bachelor's or Master's or PhD degree in Computer Science or related fields.
• Experience in C++ and Python. Proficiency in at least one Big Data tool (e.g., Hive SQL, Spark, MapReduce) and at least one Deep Learning tool (e.g., TensorFlow, PyTorch).
• Applied machine learning experience, familiarity with algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, etc.
• Industry experience in personalized recommendation, online advertising, information retrieval, or related fields.

Preferred Qualifications:

• Excellent learning ability and good communication and cooperative spirit.
• Passionate about techniques and solving challenging problems.
• Publications at KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI, RecSys, and related conferences.