Personalized Shopping Experience Specialist

1 week ago


Seattle, Washington, United States Tik Tok Full time
E-commerce Recommendation System Engineer

TikTok is a leading platform for short-form mobile video, and we're looking for a talented engineer to join our team. As an E-commerce Recommendation System Engineer at TikTok, you will be responsible for developing large-scale live-streaming and short video e-commerce recommendation algorithms and systems on the ForU page, serving billions of users daily.

Key Responsibilities
- Develop predictive models for candidate generation and ranking, including building real-time data pipelines, feature engineering, model optimization, and innovation.
- Design and develop long and short-term user interest models, analyzing and extracting relevant information from large amounts of various data, and designing algorithms to explore users' latent interests efficiently.
- Use machine learning 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, with 3 years of experience in applied machine learning and familiarity 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 with deep learning tools like tensorflow/pytorch and at least one programming language like C++/Python or equivalent.
- 3 years of experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.

This role offers a competitive salary range of $120,000 - $180,000 per year, depending on experience. In addition to a comprehensive benefits package, you'll have the opportunity to work with a talented team of engineers and researchers, driving innovation and growth in the e-commerce space.

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