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Machine Learning Engineer - e-Commerce Recommendation - 2022 profile banner profile banner

Machine Learning Engineer - e-Commerce Recommendation - 2022

The Programme

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.  

We are now looking for talented individuals to join us in 2022 - people who want to inspire creativity and co-create the future with ByteDance.  

e-Commerce Recommendation Team:

We are a group of applied machine learning engineers and data scientists that focus on e-Commerce recommendations. We are developing innovative algorithms and techniques to improve user engagements and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in e-Commerce. 

What You Will Do

  • Participate in building large-scale (10 million to 100 million) e-Commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc. in TikTok.
  • Build long and short-term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users ‘latent interests efficiently.
  • Design, develop, evaluate and iterate on predictive models for candidate generation and ranking (e.g., Click Through Rate and Conversion Rate prediction), including but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.
  • Design and build supporting/debugging tools as needed. 

Required Skills and Abilities

  • Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • Strong programming and problem-solving ability.
  • Experience or Interest 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, Wide and Deep etc.
  • Experience in Deep Learning Tools such as TensorFlow/Py torch.
  • Experience with at least one programming language like C++/Python or equivalent.
  • Publications at KDD, NEURIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc. 
Closed 9 days ago
Closed 9 days ago
  • Job type:Graduate Jobs
  • Disciplines:

    Computer Science, Engineering Software

  • Citizenships:

  • Locations:

    Singapore (Singapore)

  • Closing Date:30th Nov 2021, 6:00 pm


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