
Data Driven E-Commerce Innovator
2 weeks ago
TikTok is a leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. We are a global company with headquarters in Los Angeles and Singapore, and offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an 'Always Day 1' mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users.
We believe that diversity and inclusion are key to our success. We're 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 celebrate our diverse voices and create an environment that reflects the many communities we reach.
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, including real-time data pipelines, feature engineering, model optimization and innovation.
- Support the production of scalable and optimised AI/machine learning (ML) models.
- Final year or recent PhD graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Strong programming and problem-solving ability.
- 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 with at least one programming language like C++/Python or equivalent.
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