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TikTok Senior Machine Learning Engineer for Recommendation Systems
1 week ago
TikTok is a leading destination for short-form mobile video, driven by our mission to inspire creativity and bring joy. Our platform empowers users to learn, earn, express themselves creatively, or be entertained. To achieve this goal, we rely on innovative technologies, including machine learning, to provide an exceptional user experience.
Job Description
We are seeking a skilled Machine Learning Engineer to join our team focused on general feed recommendations and E-commerce recommendations. As a member of our team, you will work on developing large-scale recommendation algorithms and systems, analyzing and extracting relevant information from vast amounts of data, and designing algorithms to explore users' latent interests efficiently.
Main Responsibilities
• Design and build large-scale recommendation algorithms and systems, including commodity recommendations, live stream recommendations, and short video recommendations.
• Develop long-term and short-term user interest models, analyze complex data sets, and design efficient algorithms to explore users' hidden interests.
• Create predictive models for candidate generation and ranking, including click-through rate and conversion rate prediction, and implement real-time data pipelines, feature engineering, model optimization, and innovation as needed.
• Develop supporting and debugging tools as required.
Qualifications
• Bachelor's degree or higher in Computer Science or related fields.
• Strong programming and problem-solving skills, with expertise in applied machine learning.
• Experience 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.
• Familiarity with deep learning tools like TensorFlow/PYTORCH.
• Experience with at least one programming language like C++/Python or equivalent.
Preferred Qualifications
• Experience in recommendation systems, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.
• Publications in top-tier conferences/journals or participation in prominent data mining/machine learning competitions like KDD/Kaggle-cup.