E-Commerce Recommendation Systems Lead
3 days ago
TikTok is seeking a highly skilled E-Commerce Recommendation Systems Lead to join our team. This individual will be responsible for developing and implementing large-scale recommendation systems for various offerings under TikTok and its affiliates.
Key Responsibilities- Design and develop unified recommendation models that fulfill heterogeneous e-commerce scenarios across multiple countries.
- Optimize e-commerce recommendation models at massive scales using deep learning, transfer learning, and multi-task learning techniques.
- Analyze data to improve the quality of recommended contents and identify areas for improvement.
- Conduct research on topics related to content recommendation circulation, including diversity, new discovery, cold-start problems, and high-quality product/live streamer discovery.
- Develop innovative and state-of-the-art e-commerce models and algorithms.
- Support the production of scalable and optimized AI/ML models.
- Extract, transform, and load large volumes of real-time unstructured data to deploy AI/ML solutions from theoretical data science models.
- Run experiments to test model performance and identify and resolve bugs.
- Bachelor's degree or higher in Computer Science or related fields with at least 5 years of relevant hands-on experience and 2+ years of team management experience.
- Strong background in data structures, algorithms, problem-solving, and programming skills.
- Experience in applied machine learning, including algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, and Deep Neural Networks.
- Familiarity with main components of recommendation systems (recall, sort, reranking, cold-start problem) and mainstream recommendation models used in the industry.
- Experience in C++ and Python, as well as at least one Big Data tool (e.g., Hive SQL/Spark/MapReduce) and one Deep Learning tool (e.g., TensorFlow/PyTorch).
- Leadership experience, with a strong team of at least 5 members.
- Experience in personalized recommendation, online advertising, information retrieval, or related fields.
- Publications in top-tier conferences (e.g., KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI, RecSys).
- Excellent performance in data mining, machine learning, or ACM-ICPC/NOI/IOI competitions.
- Development of widely-recognized machine learning projects on GitHub or personal websites.
We offer a competitive salary range of $200,000 - $300,000 per year, depending on experience.
In addition to a comprehensive compensation package, we provide a range of benefits, including health insurance, retirement plans, and paid time off.
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Singapore TikTok Full timeAbout the TeamWe are a team of data scientists and engineers at TikTok working on large-scale recommendation systems for various offerings.Our goal is to develop cutting-edge solutions for e-commerce recommendation systems.We are looking for talented individuals to join us in 2025 for an internship.The internship program aims to provide students with...
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