提供EP名额,目前团队正在快速壮大,急需算法相关同学。
感兴趣的可以投递:ian.xuy # gmail.com (中英文简历放在一起即可,或者纯中文也可以)
职位 JD:
About the team
Our team works on large-scale recommendation systems for various offerings under TikTok and its affiliates, focusing on developing recommendation algorithms/models/strategies. We are committed to developing cutting-edge solutions for e-commerce recommendation systems.
Responsibilities
Work on recommendation systems, involving contents of various forms ranging from products, short videos to live streams, with each unified recommendation model fulfilling heterogeneous E-commerce scenarios/goals across multiple countries.
Optimize e-commerce recommendation models at massive scales, using deep learning/transfer learning/multi-task learning techniques.
Data mining and analysis to improve the quality of recommended contents.
Conduct research on various topics, which aim to optimize content recommendation circulation, ranging from ensuring diversity and new discovery in recommendation contents, to cold-start problem for new users/items and discovery of high-quality products/live streamers.
Develop innovative and state-of-the-art e-commerce models and algorithms
Qualifications
Strong in data structures and algorithms, with the excellent problem-solving ability and programming skills
Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.
Experience in working with main components of recommendation systems(recall, sort, reranking, cold-start problem), with good understanding of mainstream recommendation models used in the industry
Experience in C++ and Python; at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch)
Possess strong communication skills, positive mindset, good teamwork skills, and eagerness to learn/implement new technology and experiment
Preferred Qualifications
Experience in personalized recommendation, online advertising, information retrieval or related fields.
Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI、RecSys and related conferences
Excellent performance in data mining, machine learning
4. Developed widely-recognized machine learning project(s) on github or personal webpage
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修改:ianxuy FROM 119.75.39.*
FROM 14.100.45.*