E-Commerce Recommendation Systems Engineer
1 day ago
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:- • 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
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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