E-Commerce Recommendation Systems Engineer

1 day ago


Seattle, Washington, United States Tik Tok Full time

Job Title:

E-Commerce Recommendation Systems Engineer

Location: Los Angeles, Singapore, or other global TikTok offices

Job Description:

At TikTok, we're committed to creating an innovative e-commerce platform that connects customers with excellent sellers and quality products. As an E-Commerce Recommendation Systems Engineer, you'll play a critical role in developing large-scale algorithms and systems for commodity recommendations, live stream recommendations, and short video recommendations.

Responsibilities:
  1. • Participate in building large-scale e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
    • 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
Qualifications:

Minimum Qualifications:
• Bachelor or above degree in Computer Science or related fields with strong programming and problem-solving ability
• At least 3 years working experience in one of the following fields: recommendation algorithm, online advertising, information retrieval, natural language processing, computer vision, machine learning, large-scale data mining, or related fields

Estimated salary: $150,000 - $200,000 per year



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