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Machine Learning Engineer Intern (TikTok-Data-E-Commerce) - 2024 Start (MS) - Seattle

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1mo ago

πŸš€ Summer Internship


AI generated summary

  • Master's student in CS or related field with expertise in ML, DL, data mining, large-scale systems, C++/Python. Familiarity with tensorflow/pytorch, algorithms like Collaborative Filtering, Gradient Boosting Trees, and prior publications or competition experience preferred. Valid work authorization and commitment to a 12-week internship in May 2024 essential.
  • The Machine Learning Engineer Intern will work on building large-scale e-commerce recommendation algorithms, analyzing user interests, and developing predictive models for candidate generation and ranking in TikTok's data-driven e-commerce platform.

Summer Internship



  • We are looking for talented individuals to join us for an internship in 2024. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.
  • Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. This Internship Program runs for 12 weeks beginning in May/June 2024


  • Currently pursuing a Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • Solid knowledge in one of the following areas: machine learning, deep learning, data mining, large-scale systems.
  • Experience with at least one programming language like C++/Python or equivalent.
  • Experience in Deep Learning Tools such as tensorflow/ pytorch.
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment; Able to commit to working for 12 weeks starting May 2024
  • Preferred Qualifications:
  • Graduating December 2024 onwards with intent to return to degree-program after the completion of the internship.
  • 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.
  • Publications at KDD, NeurlPS, 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.

Education requirements

Currently Studying

Area of Responsibilities



  • 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(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.


Work type

Full time

Work mode