E-commerce Feed Recommendation Systems Engineer

19 hours ago


San Jose, California, United States Tik Tok Full time
Job Overview

We are seeking an experienced Machine Learning Engineer to join our team at TikTok, focusing on developing large-scale e-commerce feed recommendation systems. This is a unique opportunity to leverage your skills in machine learning and data engineering to drive user engagement and satisfaction.

About the Role

This role involves designing, developing, and evaluating predictive models for candidate generation and ranking, as well as building long and short-term user interest models. You will be working with large datasets, implementing real-time data pipelines, feature engineering, model optimization, and innovation. Additionally, you will 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.

Requirements

  • Bachelor's degree or higher in Computer Science or related fields
  • Strong programming and problem-solving ability
  • 1 year of experience in applied machine learning, familiar with one or more 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/PyTorch
  • Experience with at least one programming language like C++/Python or equivalent

Preferred Qualifications

  • 2 years of experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields


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