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
- At least3years of work experience in related field
- Strong in data structures and algorithms, with 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
- 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, or ACM-ICPC/NOI/IOI competitions
- Developed widely-recognized machine learning project(s) on github or personal webpage"
欢迎咨询！
电话：18519274080
微信号：Brylin1991
邮箱： herocanjob@163.com
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FROM 122.190.149.*