Senior E-commerce Feed Recommendation Engineer
1 week ago
We are seeking a highly skilled Machine Learning Engineer to join our team and contribute to the development of our E-commerce feed recommendation system.
As a key member of our team, you will be responsible for designing, developing, and deploying large-scale machine learning models to improve user engagement and satisfaction on our platform.
Our team is passionate about applying large-scale machine learning to solve real-world problems in E-commerce and recommendation systems.
Responsibilities- Design and develop 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 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.
- Bachelor's degree or higher in Computer Science or related fields.
- Strong programming and problem-solving ability.
- 3 years of experience in applied machine learning, familiar with one or more of the 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.
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and so does our workplace.
We are passionate about this and hope you are too.
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