Machine Learning Engineer, E-commerce Feed Recommendation

TikTok
Seattle, WA
Category Engineering
Job Description
We are a group of applied machine learning engineers and research scientists that focus on E-commerce video/live-streaming recommendations on the major traffic source of TikTok ForU page, where we serve traffic for billions of users every single day.

Requirements

  • Participate in building large-scale live-streaming and short video e-commerce recommendation algorithms and systems on TikTok.
  • Design, develop, evaluate and iterate on predictive models for candidate generation and ranking, including building real-time data pipelines, feature engineering, model optimization and innovation.
  • 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 and develop various strategies using ML technology to improve user shopping experience, and resolve e-commerce business challenges, such as the cold start problem and traffic allocation.
  • Design and build supporting/debugging tools as needed.

Benefits

  • Competitive salary
  • Stock options
  • Health insurance
  • Retirement plan
  • Generous paid time off
  • Flexible working hours
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